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Dog Breed Classifier Project with Convolution Neural Network (CNNs)

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Dog Breed Classifier Project

Description

This project implements Convolution Neural Network (CNNs) to detect dog breed. Specifically, the project uses VGG16 to find the breed of a dog in given image.

A VGG16 model with transfer learning also implemented in this project. This pre-trained VGG1 model yields more accurate results.

Prerequisites

To run the project, ensure you have these installed:

  • Python 3.6 above
  • Web Browser
  • PyTorch
  • PIL
  • Numpy
  • Matplotlib

Credits

  • Special thanks to Udacity for offering this program.

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Dog Breed Classifier Project with Convolution Neural Network (CNNs)

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