An exploration of the mechanics of transfer learning in TensorFlow.

This repo explores transfer learning in TensorFlow with a model that we made ourselves, on the familiar MNIST dataset.

The motivation for this notebook is to recreate the results of Google's Transfer Learning tutorial, but with an arbitarily-defined network of our own, rather than Inception v3 or Mobilenet, as Google provides for in their retrain.py script.

The preferred method for starting this notebook is to create a new environment in conda:

$ conda create --name TransferLearningYourself
$ source activate TransferLearningYourself
$ conda install pip
$ pip install -r requirements.txt
$ jupyter notebook