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tfjs-node Transfer Learning Pipeline

This is an example transfer learning application for classifying images into cats and dogs based on Tensorflow.js for Node.js.

It's using a KNN Classifier on top of Mobilenet.

Instructions

I'm using yarn in my examples but you could use npm as well.

  1. Get all dependencies.

    yarn install

  2. Train the model. This will use input data from ./data/train and export the trained model to ./knn-model.js. You can simply replace the data in those folders and adjust the ./data/index.js to your needs.

    yarn train

  3. Test the trained model. This will import the trained model and test it with data from ./data/test. Wrong classifications will be printed in the console.

    yarn test

Credits

Used cats and dogs sample data is taken from this repository by swimaugers.

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