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Deep-Learning--Project

Mission:

Built a pipeline to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed. Furthermore, This Project is built with Convolutional Neural Networks throughout the process.

Deep Neural Network Class:

CNN(Convolutional Neural Network)

Instructions

  1. Clone the repository and navigate to the downloaded folder.
cd dog-project

Download the dog dataset here. Unzip the folder and place it in the repo, at location path/to/dog-project/dogImages.

Download the human dataset here. Unzip the folder and place it in the repo, at location path/to/dog-project/lfw. If you are using a Windows machine, you are encouraged to use 7zip to extract the folder.

Download the VGG-16 bottleneck features here for the dog dataset. Place it in the repo, at location path/to/dog-project/bottleneck_features.