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Refactors examples to match diy-nn-refactor branch #195
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@shiffman - Hi! I've merged in your #194 into this PR and updated all the examples. Re: custom normalization: I've added an experimetnal feature to add in a normalizationOptions object that allows you to run the pixelBrain example! I think this PR ml5js/ml5-library#591 also improves the classification results from the Titanic example as well. I could be wrong, but I think it is working! Maybe try to run ml5js/ml5-library#591 in tandem with this PR to test? |
joeyklee
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Thanks for this @joeyklee, amazing! Focusing on the "interactive" data examples at the moment, but just noting that I am getting an error in the titanic example with this branch and building the library from ml5js/ml5-library#591.
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Ah, oops, actually this is an error for all examples that don't include |
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Merging this in now! Thanks @shiffman for all the feedback and hard work! |
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* added example * added co2 net - WORK IN PROGRESS * updated model and loaded data from model * fix unNormalize * refactored code * added axes * added axes * added message about log transform * added legend in html * adds placeholder for titanic example * adds data, constructor, and laodData * adds normalize data function * adds training function * updates example * adds neural network training * Speculative Ideas about Titanic Example (#187) * speculative ideas with example * since it's classification is there a way to mirror other ml5 classification examples? * refactor of titanic example * Adds titanic example to match diy-nn-with-data (#188) * adds experimental csv and specified string as output * working with titanic * update examples - TODO: feed in normalized vals for titanic inputs * adds simple regression example placeholder * adds simple regression example * comments train with options * moves batchSize and epoch options * change to .classify() * updates co2 training sketch with predict vals from 0 - 1 * update to classify * updates basic -- broken * changes inputs and fixes undef. * changes data in basic * whitespace adjustments * some cleanup and ideas for titanic example * speculative port of color classifier example * rm shuffle() * updates color classifier example * change vals to arrays in .addData() * work on neural network color classifier (#190) * small adjustments for testing code with ml5js/ml5-library#574 * example cleanup todos * updates color classifier example to reflect current generic nn * Updating Titanic Example (#191) * redoing titanic example with final cleaned data from @lydiajessup * training is working but issue with predict and passing in strings * working with manually encoding of inputs to predict() * updates titanic sketch * porting tf.js XOR example from coding train challenge (#192) * porting tf.js XOR example from coding train challenge * adding learning rate * noting hiddenUnits variable * updating color classifier see: ml5js/ml5-library#581 * refactor titanic example * using label directly * logs not loss * trying values * moving sketch.js * update simple regression * updates regression sketch * update co2 example * update to use results.outputs * Refactors examples to match diy-nn-refactor branch (#195) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * adds refactoring examples * updates examples based in refactor * updates xor" * rm unused co2net * updates examples for regression * updates musical note example * adds experimental normalizationOptions * adds example of multi layered network * changes activations * adds simple classification example * changes .normalize() to .normalizeData() * updates all examples to handle array of .predict() or .classify() output * Pass over DIY interactive data examples (#198) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * Clean-up of interactive neural network examples (#201) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * comments and cleanup for face example * normalize automatically face * DIY Neural Network mouseXY classification example (#199) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * attempting DIY classification example * ? * fixes outputs and changes function to .classify() * posenet classification example * rm console.log * rm withExpressions in musical face * [diy nn] Updates examples to use labels for inputs/outputs (#205) * updates musical mouse and xy classifier with specific input/output labels * update titles * update text in co2net * adds load data function (#206) * adds xOR example with multiPredict (#207) * [WIP] DIY NN - examples for loading model (#210) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * Updates model_load example (#212) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * updates loading model example
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* Adds face-api demos (#161) * added face-expressions demo * added classifyExpressionsMultiple * rm model files and model path requirement * added face landmarks example * clean up example * rm options in example * added local models example * changed function names * updated examples to use .detect() * rm translation * added image example of Frida * added detectSingle * updated image landmarks with landmarks.parts * refactored code friendly and changed colors * made ex friendly * changed options from withFaceX to withX * Structure examples directories for consistency (#170) * moved CVAE example to dir * moved dcgan to random for random space * moved sentiment to dir * moved word2vec to dir * moved files * rm p5 lib * match javascript example folder structure * Examples index page (#171) * added placeholder index.html and node script * adds ml5 index page * added latent vector example (#175) * Trying out some new example ideas for DCGAN latent vector * added simpler demo (#181) * moved index.html to /public (#182) * [In progress] Support for p5 Instance mode in ml5.js example (#160) * added bodypix_p5Instance * adds p5Instance mode example * [in progress] Adds plain javascript examples based on the p5 examples (#165) * added plain js bodypix examples * added cvae example * added dcgan example * added faceapi with landmarks // todo expressions * stashing changes for now * moved files * added yolo webcam plain js * added yolo image example * remove text on p5 * rm p5 scripts * adds bodyPix examples * wip expressions demo * adds faceapi expressions demo * adds charRNN_interactive example * added charRNN_test * added charRnn_text_stateful' * adds ImageClassification_Video_Load * added ImageClassification_DoodleNet_Canvas * added sentiment ex * adds unet example * add doodlenet_video - NOT WORKING * added posenet examples - NOT WORKING * added posenet_image_single * adds part selection example - NEEDS REVIEW * adds examples for posnet * added styletransfer video plainjs * added word2vec example * rm p5 ref * added sketchRnn basic example * added sketchRnn interactive * adds pix2pix example * add pix2pix promise * adds speech command * adds speech commands example * adds plain js pitchDetection * adds pitch game * format text * adds knn video example * adds knn classifier video example * adds knn classifier posenet * adds regressor fe * adds videosquare * adds sound example * adds piano ex * adds scavenger hunt - works only in chrome for now * adds video and sound example * adds doodlenet examples * adds multiple example * update bodypix examples * update cvae * adds updates to faceapi and dcgan * updates yolo * updats examples * adds teachable machine image classification example (#196) * rm expressions references in faceapi examples (#202) * adds live-server to npm scripts (#204) * update gh templates (#211) * Generic Neural Net Example (#164) * added example * added co2 net - WORK IN PROGRESS * updated model and loaded data from model * fix unNormalize * refactored code * added axes * added axes * added message about log transform * added legend in html * adds placeholder for titanic example * adds data, constructor, and laodData * adds normalize data function * adds training function * updates example * adds neural network training * Speculative Ideas about Titanic Example (#187) * speculative ideas with example * since it's classification is there a way to mirror other ml5 classification examples? * refactor of titanic example * Adds titanic example to match diy-nn-with-data (#188) * adds experimental csv and specified string as output * working with titanic * update examples - TODO: feed in normalized vals for titanic inputs * adds simple regression example placeholder * adds simple regression example * comments train with options * moves batchSize and epoch options * change to .classify() * updates co2 training sketch with predict vals from 0 - 1 * update to classify * updates basic -- broken * changes inputs and fixes undef. * changes data in basic * whitespace adjustments * some cleanup and ideas for titanic example * speculative port of color classifier example * rm shuffle() * updates color classifier example * change vals to arrays in .addData() * work on neural network color classifier (#190) * small adjustments for testing code with ml5js/ml5-library#574 * example cleanup todos * updates color classifier example to reflect current generic nn * Updating Titanic Example (#191) * redoing titanic example with final cleaned data from @lydiajessup * training is working but issue with predict and passing in strings * working with manually encoding of inputs to predict() * updates titanic sketch * porting tf.js XOR example from coding train challenge (#192) * porting tf.js XOR example from coding train challenge * adding learning rate * noting hiddenUnits variable * updating color classifier see: ml5js/ml5-library#581 * refactor titanic example * using label directly * logs not loss * trying values * moving sketch.js * update simple regression * updates regression sketch * update co2 example * update to use results.outputs * Refactors examples to match diy-nn-refactor branch (#195) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * adds refactoring examples * updates examples based in refactor * updates xor" * rm unused co2net * updates examples for regression * updates musical note example * adds experimental normalizationOptions * adds example of multi layered network * changes activations * adds simple classification example * changes .normalize() to .normalizeData() * updates all examples to handle array of .predict() or .classify() output * Pass over DIY interactive data examples (#198) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * Clean-up of interactive neural network examples (#201) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * comments and cleanup for face example * normalize automatically face * DIY Neural Network mouseXY classification example (#199) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * attempting DIY classification example * ? * fixes outputs and changes function to .classify() * posenet classification example * rm console.log * rm withExpressions in musical face * [diy nn] Updates examples to use labels for inputs/outputs (#205) * updates musical mouse and xy classifier with specific input/output labels * update titles * update text in co2net * adds load data function (#206) * adds xOR example with multiPredict (#207) * [WIP] DIY NN - examples for loading model (#210) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * Updates model_load example (#212) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * updates loading model example * rm faceapi examples with expressions (#213) * Updates bodypix examples to use preload() for p5js examples (#214) * adds preload example * updates bodypix to use preload() * Kmeans Image Segmentation Example (#215) * adds simple kmeans clustering example * code cleanup * change image size to 30 x 30 to run faster * changes ml5 version to 0.4.0 * updates public index * updates ml5 version and updater script * update npm script name" * adds 2019 * updates p5 to version 0.9.0
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* Adds face-api demos (#161) * added face-expressions demo * added classifyExpressionsMultiple * rm model files and model path requirement * added face landmarks example * clean up example * rm options in example * added local models example * changed function names * updated examples to use .detect() * rm translation * added image example of Frida * added detectSingle * updated image landmarks with landmarks.parts * refactored code friendly and changed colors * made ex friendly * changed options from withFaceX to withX * Structure examples directories for consistency (#170) * moved CVAE example to dir * moved dcgan to random for random space * moved sentiment to dir * moved word2vec to dir * moved files * rm p5 lib * match javascript example folder structure * Examples index page (#171) * added placeholder index.html and node script * adds ml5 index page * added latent vector example (#175) * Trying out some new example ideas for DCGAN latent vector * added simpler demo (#181) * moved index.html to /public (#182) * [In progress] Support for p5 Instance mode in ml5.js example (#160) * added bodypix_p5Instance * adds p5Instance mode example * [in progress] Adds plain javascript examples based on the p5 examples (#165) * added plain js bodypix examples * added cvae example * added dcgan example * added faceapi with landmarks // todo expressions * stashing changes for now * moved files * added yolo webcam plain js * added yolo image example * remove text on p5 * rm p5 scripts * adds bodyPix examples * wip expressions demo * adds faceapi expressions demo * adds charRNN_interactive example * added charRNN_test * added charRnn_text_stateful' * adds ImageClassification_Video_Load * added ImageClassification_DoodleNet_Canvas * added sentiment ex * adds unet example * add doodlenet_video - NOT WORKING * added posenet examples - NOT WORKING * added posenet_image_single * adds part selection example - NEEDS REVIEW * adds examples for posnet * added styletransfer video plainjs * added word2vec example * rm p5 ref * added sketchRnn basic example * added sketchRnn interactive * adds pix2pix example * add pix2pix promise * adds speech command * adds speech commands example * adds plain js pitchDetection * adds pitch game * format text * adds knn video example * adds knn classifier video example * adds knn classifier posenet * adds regressor fe * adds videosquare * adds sound example * adds piano ex * adds scavenger hunt - works only in chrome for now * adds video and sound example * adds doodlenet examples * adds multiple example * update bodypix examples * update cvae * adds updates to faceapi and dcgan * updates yolo * updats examples * adds teachable machine image classification example (#196) * rm expressions references in faceapi examples (#202) * adds live-server to npm scripts (#204) * update gh templates (#211) * Generic Neural Net Example (#164) * added example * added co2 net - WORK IN PROGRESS * updated model and loaded data from model * fix unNormalize * refactored code * added axes * added axes * added message about log transform * added legend in html * adds placeholder for titanic example * adds data, constructor, and laodData * adds normalize data function * adds training function * updates example * adds neural network training * Speculative Ideas about Titanic Example (#187) * speculative ideas with example * since it's classification is there a way to mirror other ml5 classification examples? * refactor of titanic example * Adds titanic example to match diy-nn-with-data (#188) * adds experimental csv and specified string as output * working with titanic * update examples - TODO: feed in normalized vals for titanic inputs * adds simple regression example placeholder * adds simple regression example * comments train with options * moves batchSize and epoch options * change to .classify() * updates co2 training sketch with predict vals from 0 - 1 * update to classify * updates basic -- broken * changes inputs and fixes undef. * changes data in basic * whitespace adjustments * some cleanup and ideas for titanic example * speculative port of color classifier example * rm shuffle() * updates color classifier example * change vals to arrays in .addData() * work on neural network color classifier (#190) * small adjustments for testing code with ml5js/ml5-library#574 * example cleanup todos * updates color classifier example to reflect current generic nn * Updating Titanic Example (#191) * redoing titanic example with final cleaned data from @lydiajessup * training is working but issue with predict and passing in strings * working with manually encoding of inputs to predict() * updates titanic sketch * porting tf.js XOR example from coding train challenge (#192) * porting tf.js XOR example from coding train challenge * adding learning rate * noting hiddenUnits variable * updating color classifier see: ml5js/ml5-library#581 * refactor titanic example * using label directly * logs not loss * trying values * moving sketch.js * update simple regression * updates regression sketch * update co2 example * update to use results.outputs * Refactors examples to match diy-nn-refactor branch (#195) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * adds refactoring examples * updates examples based in refactor * updates xor" * rm unused co2net * updates examples for regression * updates musical note example * adds experimental normalizationOptions * adds example of multi layered network * changes activations * adds simple classification example * changes .normalize() to .normalizeData() * updates all examples to handle array of .predict() or .classify() output * Pass over DIY interactive data examples (#198) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * Clean-up of interactive neural network examples (#201) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * comments and cleanup for face example * normalize automatically face * DIY Neural Network mouseXY classification example (#199) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * attempting DIY classification example * ? * fixes outputs and changes function to .classify() * posenet classification example * rm console.log * rm withExpressions in musical face * [diy nn] Updates examples to use labels for inputs/outputs (#205) * updates musical mouse and xy classifier with specific input/output labels * update titles * update text in co2net * adds load data function (#206) * adds xOR example with multiPredict (#207) * [WIP] DIY NN - examples for loading model (#210) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * Updates model_load example (#212) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * updates loading model example * rm faceapi examples with expressions (#213) * Updates bodypix examples to use preload() for p5js examples (#214) * adds preload example * updates bodypix to use preload() * Kmeans Image Segmentation Example (#215) * adds simple kmeans clustering example * code cleanup * change image size to 30 x 30 to run faster * changes ml5 version to 0.4.0 * updates public index * updates ml5 version and updater script * update npm script name" * adds 2019 * updates p5 to version 0.9.0 * sets localhost * Revising Teachable Machine Snippets (#218) * matching proposed TM snippets for image classification * sound example and refactoring to new TM folder * changing name to include URL * fix typo * adds flipped video (#219) * bumps version * updates ml5 version ref * updates example index * adds merge release accept all our changes
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Nov 6, 2019
* Adds face-api demos (#161) * added face-expressions demo * added classifyExpressionsMultiple * rm model files and model path requirement * added face landmarks example * clean up example * rm options in example * added local models example * changed function names * updated examples to use .detect() * rm translation * added image example of Frida * added detectSingle * updated image landmarks with landmarks.parts * refactored code friendly and changed colors * made ex friendly * changed options from withFaceX to withX * Structure examples directories for consistency (#170) * moved CVAE example to dir * moved dcgan to random for random space * moved sentiment to dir * moved word2vec to dir * moved files * rm p5 lib * match javascript example folder structure * Examples index page (#171) * added placeholder index.html and node script * adds ml5 index page * added latent vector example (#175) * Trying out some new example ideas for DCGAN latent vector * added simpler demo (#181) * moved index.html to /public (#182) * [In progress] Support for p5 Instance mode in ml5.js example (#160) * added bodypix_p5Instance * adds p5Instance mode example * [in progress] Adds plain javascript examples based on the p5 examples (#165) * added plain js bodypix examples * added cvae example * added dcgan example * added faceapi with landmarks // todo expressions * stashing changes for now * moved files * added yolo webcam plain js * added yolo image example * remove text on p5 * rm p5 scripts * adds bodyPix examples * wip expressions demo * adds faceapi expressions demo * adds charRNN_interactive example * added charRNN_test * added charRnn_text_stateful' * adds ImageClassification_Video_Load * added ImageClassification_DoodleNet_Canvas * added sentiment ex * adds unet example * add doodlenet_video - NOT WORKING * added posenet examples - NOT WORKING * added posenet_image_single * adds part selection example - NEEDS REVIEW * adds examples for posnet * added styletransfer video plainjs * added word2vec example * rm p5 ref * added sketchRnn basic example * added sketchRnn interactive * adds pix2pix example * add pix2pix promise * adds speech command * adds speech commands example * adds plain js pitchDetection * adds pitch game * format text * adds knn video example * adds knn classifier video example * adds knn classifier posenet * adds regressor fe * adds videosquare * adds sound example * adds piano ex * adds scavenger hunt - works only in chrome for now * adds video and sound example * adds doodlenet examples * adds multiple example * update bodypix examples * update cvae * adds updates to faceapi and dcgan * updates yolo * updats examples * adds teachable machine image classification example (#196) * rm expressions references in faceapi examples (#202) * adds live-server to npm scripts (#204) * update gh templates (#211) * Generic Neural Net Example (#164) * added example * added co2 net - WORK IN PROGRESS * updated model and loaded data from model * fix unNormalize * refactored code * added axes * added axes * added message about log transform * added legend in html * adds placeholder for titanic example * adds data, constructor, and laodData * adds normalize data function * adds training function * updates example * adds neural network training * Speculative Ideas about Titanic Example (#187) * speculative ideas with example * since it's classification is there a way to mirror other ml5 classification examples? * refactor of titanic example * Adds titanic example to match diy-nn-with-data (#188) * adds experimental csv and specified string as output * working with titanic * update examples - TODO: feed in normalized vals for titanic inputs * adds simple regression example placeholder * adds simple regression example * comments train with options * moves batchSize and epoch options * change to .classify() * updates co2 training sketch with predict vals from 0 - 1 * update to classify * updates basic -- broken * changes inputs and fixes undef. * changes data in basic * whitespace adjustments * some cleanup and ideas for titanic example * speculative port of color classifier example * rm shuffle() * updates color classifier example * change vals to arrays in .addData() * work on neural network color classifier (#190) * small adjustments for testing code with ml5js/ml5-library#574 * example cleanup todos * updates color classifier example to reflect current generic nn * Updating Titanic Example (#191) * redoing titanic example with final cleaned data from @lydiajessup * training is working but issue with predict and passing in strings * working with manually encoding of inputs to predict() * updates titanic sketch * porting tf.js XOR example from coding train challenge (#192) * porting tf.js XOR example from coding train challenge * adding learning rate * noting hiddenUnits variable * updating color classifier see: ml5js/ml5-library#581 * refactor titanic example * using label directly * logs not loss * trying values * moving sketch.js * update simple regression * updates regression sketch * update co2 example * update to use results.outputs * Refactors examples to match diy-nn-refactor branch (#195) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * adds refactoring examples * updates examples based in refactor * updates xor" * rm unused co2net * updates examples for regression * updates musical note example * adds experimental normalizationOptions * adds example of multi layered network * changes activations * adds simple classification example * changes .normalize() to .normalizeData() * updates all examples to handle array of .predict() or .classify() output * Pass over DIY interactive data examples (#198) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * Clean-up of interactive neural network examples (#201) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * comments and cleanup for face example * normalize automatically face * DIY Neural Network mouseXY classification example (#199) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * attempting DIY classification example * ? * fixes outputs and changes function to .classify() * posenet classification example * rm console.log * rm withExpressions in musical face * [diy nn] Updates examples to use labels for inputs/outputs (#205) * updates musical mouse and xy classifier with specific input/output labels * update titles * update text in co2net * adds load data function (#206) * adds xOR example with multiPredict (#207) * [WIP] DIY NN - examples for loading model (#210) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * Updates model_load example (#212) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * updates loading model example * rm faceapi examples with expressions (#213) * Updates bodypix examples to use preload() for p5js examples (#214) * adds preload example * updates bodypix to use preload() * Kmeans Image Segmentation Example (#215) * adds simple kmeans clustering example * code cleanup * change image size to 30 x 30 to run faster * changes ml5 version to 0.4.0 * updates public index * updates ml5 version and updater script * update npm script name" * adds 2019 * updates p5 to version 0.9.0 * sets localhost * Revising Teachable Machine Snippets (#218) * matching proposed TM snippets for image classification * sound example and refactoring to new TM folder * changing name to include URL * fix typo * adds flipped video (#219) * updates bodypix examples to reflect updated api (#225) * adds p5 batch uploader script * adds p5 batch uploader script (#227) * set ml to dev * adds background to unet * bumps version
joeyklee
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Nov 7, 2019
* Adds face-api demos (#161) * added face-expressions demo * added classifyExpressionsMultiple * rm model files and model path requirement * added face landmarks example * clean up example * rm options in example * added local models example * changed function names * updated examples to use .detect() * rm translation * added image example of Frida * added detectSingle * updated image landmarks with landmarks.parts * refactored code friendly and changed colors * made ex friendly * changed options from withFaceX to withX * Structure examples directories for consistency (#170) * moved CVAE example to dir * moved dcgan to random for random space * moved sentiment to dir * moved word2vec to dir * moved files * rm p5 lib * match javascript example folder structure * Examples index page (#171) * added placeholder index.html and node script * adds ml5 index page * added latent vector example (#175) * Trying out some new example ideas for DCGAN latent vector * added simpler demo (#181) * moved index.html to /public (#182) * [In progress] Support for p5 Instance mode in ml5.js example (#160) * added bodypix_p5Instance * adds p5Instance mode example * [in progress] Adds plain javascript examples based on the p5 examples (#165) * added plain js bodypix examples * added cvae example * added dcgan example * added faceapi with landmarks // todo expressions * stashing changes for now * moved files * added yolo webcam plain js * added yolo image example * remove text on p5 * rm p5 scripts * adds bodyPix examples * wip expressions demo * adds faceapi expressions demo * adds charRNN_interactive example * added charRNN_test * added charRnn_text_stateful' * adds ImageClassification_Video_Load * added ImageClassification_DoodleNet_Canvas * added sentiment ex * adds unet example * add doodlenet_video - NOT WORKING * added posenet examples - NOT WORKING * added posenet_image_single * adds part selection example - NEEDS REVIEW * adds examples for posnet * added styletransfer video plainjs * added word2vec example * rm p5 ref * added sketchRnn basic example * added sketchRnn interactive * adds pix2pix example * add pix2pix promise * adds speech command * adds speech commands example * adds plain js pitchDetection * adds pitch game * format text * adds knn video example * adds knn classifier video example * adds knn classifier posenet * adds regressor fe * adds videosquare * adds sound example * adds piano ex * adds scavenger hunt - works only in chrome for now * adds video and sound example * adds doodlenet examples * adds multiple example * update bodypix examples * update cvae * adds updates to faceapi and dcgan * updates yolo * updats examples * adds teachable machine image classification example (#196) * rm expressions references in faceapi examples (#202) * adds live-server to npm scripts (#204) * update gh templates (#211) * Generic Neural Net Example (#164) * added example * added co2 net - WORK IN PROGRESS * updated model and loaded data from model * fix unNormalize * refactored code * added axes * added axes * added message about log transform * added legend in html * adds placeholder for titanic example * adds data, constructor, and laodData * adds normalize data function * adds training function * updates example * adds neural network training * Speculative Ideas about Titanic Example (#187) * speculative ideas with example * since it's classification is there a way to mirror other ml5 classification examples? * refactor of titanic example * Adds titanic example to match diy-nn-with-data (#188) * adds experimental csv and specified string as output * working with titanic * update examples - TODO: feed in normalized vals for titanic inputs * adds simple regression example placeholder * adds simple regression example * comments train with options * moves batchSize and epoch options * change to .classify() * updates co2 training sketch with predict vals from 0 - 1 * update to classify * updates basic -- broken * changes inputs and fixes undef. * changes data in basic * whitespace adjustments * some cleanup and ideas for titanic example * speculative port of color classifier example * rm shuffle() * updates color classifier example * change vals to arrays in .addData() * work on neural network color classifier (#190) * small adjustments for testing code with ml5js/ml5-library#574 * example cleanup todos * updates color classifier example to reflect current generic nn * Updating Titanic Example (#191) * redoing titanic example with final cleaned data from @lydiajessup * training is working but issue with predict and passing in strings * working with manually encoding of inputs to predict() * updates titanic sketch * porting tf.js XOR example from coding train challenge (#192) * porting tf.js XOR example from coding train challenge * adding learning rate * noting hiddenUnits variable * updating color classifier see: ml5js/ml5-library#581 * refactor titanic example * using label directly * logs not loss * trying values * moving sketch.js * update simple regression * updates regression sketch * update co2 example * update to use results.outputs * Refactors examples to match diy-nn-refactor branch (#195) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * adds refactoring examples * updates examples based in refactor * updates xor" * rm unused co2net * updates examples for regression * updates musical note example * adds experimental normalizationOptions * adds example of multi layered network * changes activations * adds simple classification example * changes .normalize() to .normalizeData() * updates all examples to handle array of .predict() or .classify() output * Pass over DIY interactive data examples (#198) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * Clean-up of interactive neural network examples (#201) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * comments and cleanup for face example * normalize automatically face * DIY Neural Network mouseXY classification example (#199) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * attempting DIY classification example * ? * fixes outputs and changes function to .classify() * posenet classification example * rm console.log * rm withExpressions in musical face * [diy nn] Updates examples to use labels for inputs/outputs (#205) * updates musical mouse and xy classifier with specific input/output labels * update titles * update text in co2net * adds load data function (#206) * adds xOR example with multiPredict (#207) * [WIP] DIY NN - examples for loading model (#210) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * Updates model_load example (#212) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * updates loading model example * rm faceapi examples with expressions (#213) * Updates bodypix examples to use preload() for p5js examples (#214) * adds preload example * updates bodypix to use preload() * Kmeans Image Segmentation Example (#215) * adds simple kmeans clustering example * code cleanup * change image size to 30 x 30 to run faster * changes ml5 version to 0.4.0 * updates public index * updates ml5 version and updater script * update npm script name" * adds 2019 * updates p5 to version 0.9.0
joeyklee
added a commit
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Nov 7, 2019
* Adds face-api demos (#161) * added face-expressions demo * added classifyExpressionsMultiple * rm model files and model path requirement * added face landmarks example * clean up example * rm options in example * added local models example * changed function names * updated examples to use .detect() * rm translation * added image example of Frida * added detectSingle * updated image landmarks with landmarks.parts * refactored code friendly and changed colors * made ex friendly * changed options from withFaceX to withX * Structure examples directories for consistency (#170) * moved CVAE example to dir * moved dcgan to random for random space * moved sentiment to dir * moved word2vec to dir * moved files * rm p5 lib * match javascript example folder structure * Examples index page (#171) * added placeholder index.html and node script * adds ml5 index page * added latent vector example (#175) * Trying out some new example ideas for DCGAN latent vector * added simpler demo (#181) * moved index.html to /public (#182) * [In progress] Support for p5 Instance mode in ml5.js example (#160) * added bodypix_p5Instance * adds p5Instance mode example * [in progress] Adds plain javascript examples based on the p5 examples (#165) * added plain js bodypix examples * added cvae example * added dcgan example * added faceapi with landmarks // todo expressions * stashing changes for now * moved files * added yolo webcam plain js * added yolo image example * remove text on p5 * rm p5 scripts * adds bodyPix examples * wip expressions demo * adds faceapi expressions demo * adds charRNN_interactive example * added charRNN_test * added charRnn_text_stateful' * adds ImageClassification_Video_Load * added ImageClassification_DoodleNet_Canvas * added sentiment ex * adds unet example * add doodlenet_video - NOT WORKING * added posenet examples - NOT WORKING * added posenet_image_single * adds part selection example - NEEDS REVIEW * adds examples for posnet * added styletransfer video plainjs * added word2vec example * rm p5 ref * added sketchRnn basic example * added sketchRnn interactive * adds pix2pix example * add pix2pix promise * adds speech command * adds speech commands example * adds plain js pitchDetection * adds pitch game * format text * adds knn video example * adds knn classifier video example * adds knn classifier posenet * adds regressor fe * adds videosquare * adds sound example * adds piano ex * adds scavenger hunt - works only in chrome for now * adds video and sound example * adds doodlenet examples * adds multiple example * update bodypix examples * update cvae * adds updates to faceapi and dcgan * updates yolo * updats examples * adds teachable machine image classification example (#196) * rm expressions references in faceapi examples (#202) * adds live-server to npm scripts (#204) * update gh templates (#211) * Generic Neural Net Example (#164) * added example * added co2 net - WORK IN PROGRESS * updated model and loaded data from model * fix unNormalize * refactored code * added axes * added axes * added message about log transform * added legend in html * adds placeholder for titanic example * adds data, constructor, and laodData * adds normalize data function * adds training function * updates example * adds neural network training * Speculative Ideas about Titanic Example (#187) * speculative ideas with example * since it's classification is there a way to mirror other ml5 classification examples? * refactor of titanic example * Adds titanic example to match diy-nn-with-data (#188) * adds experimental csv and specified string as output * working with titanic * update examples - TODO: feed in normalized vals for titanic inputs * adds simple regression example placeholder * adds simple regression example * comments train with options * moves batchSize and epoch options * change to .classify() * updates co2 training sketch with predict vals from 0 - 1 * update to classify * updates basic -- broken * changes inputs and fixes undef. * changes data in basic * whitespace adjustments * some cleanup and ideas for titanic example * speculative port of color classifier example * rm shuffle() * updates color classifier example * change vals to arrays in .addData() * work on neural network color classifier (#190) * small adjustments for testing code with ml5js/ml5-library#574 * example cleanup todos * updates color classifier example to reflect current generic nn * Updating Titanic Example (#191) * redoing titanic example with final cleaned data from @lydiajessup * training is working but issue with predict and passing in strings * working with manually encoding of inputs to predict() * updates titanic sketch * porting tf.js XOR example from coding train challenge (#192) * porting tf.js XOR example from coding train challenge * adding learning rate * noting hiddenUnits variable * updating color classifier see: ml5js/ml5-library#581 * refactor titanic example * using label directly * logs not loss * trying values * moving sketch.js * update simple regression * updates regression sketch * update co2 example * update to use results.outputs * Refactors examples to match diy-nn-refactor branch (#195) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * adds refactoring examples * updates examples based in refactor * updates xor" * rm unused co2net * updates examples for regression * updates musical note example * adds experimental normalizationOptions * adds example of multi layered network * changes activations * adds simple classification example * changes .normalize() to .normalizeData() * updates all examples to handle array of .predict() or .classify() output * Pass over DIY interactive data examples (#198) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * Clean-up of interactive neural network examples (#201) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * comments and cleanup for face example * normalize automatically face * DIY Neural Network mouseXY classification example (#199) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * attempting DIY classification example * ? * fixes outputs and changes function to .classify() * posenet classification example * rm console.log * rm withExpressions in musical face * [diy nn] Updates examples to use labels for inputs/outputs (#205) * updates musical mouse and xy classifier with specific input/output labels * update titles * update text in co2net * adds load data function (#206) * adds xOR example with multiPredict (#207) * [WIP] DIY NN - examples for loading model (#210) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * Updates model_load example (#212) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * updates loading model example * rm faceapi examples with expressions (#213) * Updates bodypix examples to use preload() for p5js examples (#214) * adds preload example * updates bodypix to use preload() * Kmeans Image Segmentation Example (#215) * adds simple kmeans clustering example * code cleanup * change image size to 30 x 30 to run faster * changes ml5 version to 0.4.0 * updates public index * updates ml5 version and updater script * update npm script name" * adds 2019 * updates p5 to version 0.9.0 * sets localhost * Revising Teachable Machine Snippets (#218) * matching proposed TM snippets for image classification * sound example and refactoring to new TM folder * changing name to include URL * fix typo * adds flipped video (#219) * bumps version * updates ml5 version ref * updates example index * adds merge release accept all our changes
joeyklee
added a commit
that referenced
this pull request
Nov 7, 2019
* Adds face-api demos (#161) * added face-expressions demo * added classifyExpressionsMultiple * rm model files and model path requirement * added face landmarks example * clean up example * rm options in example * added local models example * changed function names * updated examples to use .detect() * rm translation * added image example of Frida * added detectSingle * updated image landmarks with landmarks.parts * refactored code friendly and changed colors * made ex friendly * changed options from withFaceX to withX * Structure examples directories for consistency (#170) * moved CVAE example to dir * moved dcgan to random for random space * moved sentiment to dir * moved word2vec to dir * moved files * rm p5 lib * match javascript example folder structure * Examples index page (#171) * added placeholder index.html and node script * adds ml5 index page * added latent vector example (#175) * Trying out some new example ideas for DCGAN latent vector * added simpler demo (#181) * moved index.html to /public (#182) * [In progress] Support for p5 Instance mode in ml5.js example (#160) * added bodypix_p5Instance * adds p5Instance mode example * [in progress] Adds plain javascript examples based on the p5 examples (#165) * added plain js bodypix examples * added cvae example * added dcgan example * added faceapi with landmarks // todo expressions * stashing changes for now * moved files * added yolo webcam plain js * added yolo image example * remove text on p5 * rm p5 scripts * adds bodyPix examples * wip expressions demo * adds faceapi expressions demo * adds charRNN_interactive example * added charRNN_test * added charRnn_text_stateful' * adds ImageClassification_Video_Load * added ImageClassification_DoodleNet_Canvas * added sentiment ex * adds unet example * add doodlenet_video - NOT WORKING * added posenet examples - NOT WORKING * added posenet_image_single * adds part selection example - NEEDS REVIEW * adds examples for posnet * added styletransfer video plainjs * added word2vec example * rm p5 ref * added sketchRnn basic example * added sketchRnn interactive * adds pix2pix example * add pix2pix promise * adds speech command * adds speech commands example * adds plain js pitchDetection * adds pitch game * format text * adds knn video example * adds knn classifier video example * adds knn classifier posenet * adds regressor fe * adds videosquare * adds sound example * adds piano ex * adds scavenger hunt - works only in chrome for now * adds video and sound example * adds doodlenet examples * adds multiple example * update bodypix examples * update cvae * adds updates to faceapi and dcgan * updates yolo * updats examples * adds teachable machine image classification example (#196) * rm expressions references in faceapi examples (#202) * adds live-server to npm scripts (#204) * update gh templates (#211) * Generic Neural Net Example (#164) * added example * added co2 net - WORK IN PROGRESS * updated model and loaded data from model * fix unNormalize * refactored code * added axes * added axes * added message about log transform * added legend in html * adds placeholder for titanic example * adds data, constructor, and laodData * adds normalize data function * adds training function * updates example * adds neural network training * Speculative Ideas about Titanic Example (#187) * speculative ideas with example * since it's classification is there a way to mirror other ml5 classification examples? * refactor of titanic example * Adds titanic example to match diy-nn-with-data (#188) * adds experimental csv and specified string as output * working with titanic * update examples - TODO: feed in normalized vals for titanic inputs * adds simple regression example placeholder * adds simple regression example * comments train with options * moves batchSize and epoch options * change to .classify() * updates co2 training sketch with predict vals from 0 - 1 * update to classify * updates basic -- broken * changes inputs and fixes undef. * changes data in basic * whitespace adjustments * some cleanup and ideas for titanic example * speculative port of color classifier example * rm shuffle() * updates color classifier example * change vals to arrays in .addData() * work on neural network color classifier (#190) * small adjustments for testing code with ml5js/ml5-library#574 * example cleanup todos * updates color classifier example to reflect current generic nn * Updating Titanic Example (#191) * redoing titanic example with final cleaned data from @lydiajessup * training is working but issue with predict and passing in strings * working with manually encoding of inputs to predict() * updates titanic sketch * porting tf.js XOR example from coding train challenge (#192) * porting tf.js XOR example from coding train challenge * adding learning rate * noting hiddenUnits variable * updating color classifier see: ml5js/ml5-library#581 * refactor titanic example * using label directly * logs not loss * trying values * moving sketch.js * update simple regression * updates regression sketch * update co2 example * update to use results.outputs * Refactors examples to match diy-nn-refactor branch (#195) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * adds refactoring examples * updates examples based in refactor * updates xor" * rm unused co2net * updates examples for regression * updates musical note example * adds experimental normalizationOptions * adds example of multi layered network * changes activations * adds simple classification example * changes .normalize() to .normalizeData() * updates all examples to handle array of .predict() or .classify() output * Pass over DIY interactive data examples (#198) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * Clean-up of interactive neural network examples (#201) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * comments and cleanup for face example * normalize automatically face * DIY Neural Network mouseXY classification example (#199) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * attempting DIY classification example * ? * fixes outputs and changes function to .classify() * posenet classification example * rm console.log * rm withExpressions in musical face * [diy nn] Updates examples to use labels for inputs/outputs (#205) * updates musical mouse and xy classifier with specific input/output labels * update titles * update text in co2net * adds load data function (#206) * adds xOR example with multiPredict (#207) * [WIP] DIY NN - examples for loading model (#210) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * Updates model_load example (#212) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * updates loading model example * rm faceapi examples with expressions (#213) * Updates bodypix examples to use preload() for p5js examples (#214) * adds preload example * updates bodypix to use preload() * Kmeans Image Segmentation Example (#215) * adds simple kmeans clustering example * code cleanup * change image size to 30 x 30 to run faster * changes ml5 version to 0.4.0 * updates public index * updates ml5 version and updater script * update npm script name" * adds 2019 * updates p5 to version 0.9.0 * sets localhost * Revising Teachable Machine Snippets (#218) * matching proposed TM snippets for image classification * sound example and refactoring to new TM folder * changing name to include URL * fix typo * adds flipped video (#219) * updates bodypix examples to reflect updated api (#225) * adds p5 batch uploader script * adds p5 batch uploader script (#227) * set ml to dev * adds background to unet * bumps version
joeyklee
added a commit
that referenced
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Nov 14, 2019
* Adds face-api demos (#161) * added face-expressions demo * added classifyExpressionsMultiple * rm model files and model path requirement * added face landmarks example * clean up example * rm options in example * added local models example * changed function names * updated examples to use .detect() * rm translation * added image example of Frida * added detectSingle * updated image landmarks with landmarks.parts * refactored code friendly and changed colors * made ex friendly * changed options from withFaceX to withX * Structure examples directories for consistency (#170) * moved CVAE example to dir * moved dcgan to random for random space * moved sentiment to dir * moved word2vec to dir * moved files * rm p5 lib * match javascript example folder structure * Examples index page (#171) * added placeholder index.html and node script * adds ml5 index page * added latent vector example (#175) * Trying out some new example ideas for DCGAN latent vector * added simpler demo (#181) * moved index.html to /public (#182) * [In progress] Support for p5 Instance mode in ml5.js example (#160) * added bodypix_p5Instance * adds p5Instance mode example * [in progress] Adds plain javascript examples based on the p5 examples (#165) * added plain js bodypix examples * added cvae example * added dcgan example * added faceapi with landmarks // todo expressions * stashing changes for now * moved files * added yolo webcam plain js * added yolo image example * remove text on p5 * rm p5 scripts * adds bodyPix examples * wip expressions demo * adds faceapi expressions demo * adds charRNN_interactive example * added charRNN_test * added charRnn_text_stateful' * adds ImageClassification_Video_Load * added ImageClassification_DoodleNet_Canvas * added sentiment ex * adds unet example * add doodlenet_video - NOT WORKING * added posenet examples - NOT WORKING * added posenet_image_single * adds part selection example - NEEDS REVIEW * adds examples for posnet * added styletransfer video plainjs * added word2vec example * rm p5 ref * added sketchRnn basic example * added sketchRnn interactive * adds pix2pix example * add pix2pix promise * adds speech command * adds speech commands example * adds plain js pitchDetection * adds pitch game * format text * adds knn video example * adds knn classifier video example * adds knn classifier posenet * adds regressor fe * adds videosquare * adds sound example * adds piano ex * adds scavenger hunt - works only in chrome for now * adds video and sound example * adds doodlenet examples * adds multiple example * update bodypix examples * update cvae * adds updates to faceapi and dcgan * updates yolo * updats examples * adds teachable machine image classification example (#196) * rm expressions references in faceapi examples (#202) * adds live-server to npm scripts (#204) * update gh templates (#211) * Generic Neural Net Example (#164) * added example * added co2 net - WORK IN PROGRESS * updated model and loaded data from model * fix unNormalize * refactored code * added axes * added axes * added message about log transform * added legend in html * adds placeholder for titanic example * adds data, constructor, and laodData * adds normalize data function * adds training function * updates example * adds neural network training * Speculative Ideas about Titanic Example (#187) * speculative ideas with example * since it's classification is there a way to mirror other ml5 classification examples? * refactor of titanic example * Adds titanic example to match diy-nn-with-data (#188) * adds experimental csv and specified string as output * working with titanic * update examples - TODO: feed in normalized vals for titanic inputs * adds simple regression example placeholder * adds simple regression example * comments train with options * moves batchSize and epoch options * change to .classify() * updates co2 training sketch with predict vals from 0 - 1 * update to classify * updates basic -- broken * changes inputs and fixes undef. * changes data in basic * whitespace adjustments * some cleanup and ideas for titanic example * speculative port of color classifier example * rm shuffle() * updates color classifier example * change vals to arrays in .addData() * work on neural network color classifier (#190) * small adjustments for testing code with ml5js/ml5-library#574 * example cleanup todos * updates color classifier example to reflect current generic nn * Updating Titanic Example (#191) * redoing titanic example with final cleaned data from @lydiajessup * training is working but issue with predict and passing in strings * working with manually encoding of inputs to predict() * updates titanic sketch * porting tf.js XOR example from coding train challenge (#192) * porting tf.js XOR example from coding train challenge * adding learning rate * noting hiddenUnits variable * updating color classifier see: ml5js/ml5-library#581 * refactor titanic example * using label directly * logs not loss * trying values * moving sketch.js * update simple regression * updates regression sketch * update co2 example * update to use results.outputs * Refactors examples to match diy-nn-refactor branch (#195) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * adds refactoring examples * updates examples based in refactor * updates xor" * rm unused co2net * updates examples for regression * updates musical note example * adds experimental normalizationOptions * adds example of multi layered network * changes activations * adds simple classification example * changes .normalize() to .normalizeData() * updates all examples to handle array of .predict() or .classify() output * Pass over DIY interactive data examples (#198) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * Clean-up of interactive neural network examples (#201) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * low res pixel comments and naming * comments and cleanup for face example * normalize automatically face * DIY Neural Network mouseXY classification example (#199) * neural noteplayer example * example inspired by Eyeo 2019 Rebecca Fiebrink talk * rename musical mouse example * example tweaks and oscillator * musical face example * different interface for face example * mouse and pixels cleanup * musical face adjust to new API * code comments * attempting DIY classification example * ? * fixes outputs and changes function to .classify() * posenet classification example * rm console.log * rm withExpressions in musical face * [diy nn] Updates examples to use labels for inputs/outputs (#205) * updates musical mouse and xy classifier with specific input/output labels * update titles * update text in co2net * adds load data function (#206) * adds xOR example with multiPredict (#207) * [WIP] DIY NN - examples for loading model (#210) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * Updates model_load example (#212) * adds loadModel example * updates example showcasing issues * updated example to reflect current ml5-lib temp fix * updates loading model example * rm faceapi examples with expressions (#213) * Updates bodypix examples to use preload() for p5js examples (#214) * adds preload example * updates bodypix to use preload() * Kmeans Image Segmentation Example (#215) * adds simple kmeans clustering example * code cleanup * change image size to 30 x 30 to run faster * changes ml5 version to 0.4.0 * updates public index * updates ml5 version and updater script * update npm script name" * adds 2019 * updates p5 to version 0.9.0 * sets localhost * Revising Teachable Machine Snippets (#218) * matching proposed TM snippets for image classification * sound example and refactoring to new TM folder * changing name to include URL * fix typo * adds flipped video (#219) * updates bodypix examples to reflect updated api (#225) * adds p5 batch uploader script * adds p5 batch uploader script (#227) * set ml to dev * adds background to unet * bumps version * sets ml5 to dev * merge release and set ml5 local host * adds example index json and script (#239) * sets ml5 url to dev * adds devops scripts for updating ml5 refs and avoiding merge conflicts * sets ml5 url to release * bumps version v0.4.3 * sets ml version to 0.4.3 * updates examples json
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related to: ml5js/ml5-library#591