v0.3.0

Major notes:

1. Updated tensorflow.js dependency to v1.1.2 via @WenheLI and @joeyklee
2. includes update to @magenta/sketch to v0.2.0 via @joeyklee
3. FeatureExtractor takes number of labels as input to .classification() allowing users to specify how many labels they want to reclassify: #376 via @joeyklee , @yining1023, and @shiffman

Models added:

1. UNET - learn more: https://towardsdatascience.com/u-net-b229b32b4a71 by @zaid
2. CVAE - conditional variational auto encoder - learn more: https://wiseodd.github.io/techblog/2016/12/17/conditional-vae/ by @WenheLI
3. Sentiment - learn more: https://www.tensorflow.org/tutorials/keras/basic_text_classification via @itay
4. DCGAN - Deep Convolutional Generative Adversarial Networks - https://github.com/carpedm20/DCGAN-tensorflow

Examples added:

1. UNET - https://github.com/ml5js/ml5-examples/tree/development/p5js/UNET/UNET_webcam by @joeyklee & @shiffman
2. CVAE - https://github.com/ml5js/ml5-examples/tree/development/p5js/CVAE by @wenhe li, @joeyklee, & @shiffman
3. Sentiment - https://github.com/ml5js/ml5-examples/tree/development/p5js/Sentiment @itay & @joeyklee & @shiffman
4. DCGAN - https://github.com/ml5js/ml5-examples/tree/development/p5js/DCGAN @viztopia & @joeyklee

Handy things:

1. Adding custom names to saved feature extractor - see: #353
2. Added p5Utils - now we have a suite of functions for tighter integration of ml5 to handle p5 images: #358 @wenhe li
3. CharRNN tests now much faster: #349 by @brent
4. Begin to add jsdoc style comments in code for better documentation: #378 via @WenheLI and @joeyklee
5. @magenta/sketch updated its tensorflow dependency to 1.0.2 making it compatible with our update

Fixes:

1. PoseNet .singlePose() and .multiPose() now return consistent results #381
2. Adds check for mozCaptureStream in YOLO: #375

Thanks all for your hard work + contributions! Have a nice weekend!