TensorFlow Lab Offered by Google

Codelabs Tensorflow teaching on Machine Vision and feature scoring. This is my attempt at working my way through the various modules and setup sections.

Basic Introduction

The codelabs portion for this tutorial is found here: https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/#0

This project is being conducted on an Arch Linux virtual machine. The following instructions involve the basic setup for the project.

$ sudo pacman -S tensorflow tensorboard
$ sudo pip2 install -r requirements.pip
$ # Run the setup script...
$ . ./setup

To train the network, you'll need to run the following:

$ cd tensorflow-for-poets-2
$ python -m scripts.retrain \
  	 --bottleneck_dir=../tf_files/bottlenecks \
	 --how_many_training_steps=500 \
	 --model_dir=../tf_files/models/ \
	 --summaries_dir=../tf_files/training_summaries/"${ARCHITECTURE}" \
	 --output_graph=../tf_files/retrained_graph.pb \
	 --output_labels=../tf_files/retrained_labels.txt \
	 --architecture="${ARCHITECTURE}" \
	 --image_dir=../tf_files/flower_photos

Docker Composition