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Introduction to Deep Learning with Tensorflow

Tutorials with Tensorflow implementations. Initially designed for ENSAI SID 2017.

A .ova file (Ubuntu 16.04 - ~ 3.5 Go) is available on a USB key where Python 2.7 and Tensorflow (0.12.0) are already installed. Go to VirtualBox and 'import a virtual environment' and select the .ova file.

Slides available on my website: "Intro to deep learning with Tensorflow"

Feel free to install directly Tensorflow on your laptop TensorFlow Installation Guide

Introduction

Understanding Stochastic Gradient Descent

MNIST

The Nature Conservancy Fisheries Monitoring (Kaggle)

Frozen Lake

Thanks

Code inspired by other great tutorials from @aymericdamien (SGD and MNIST parts), @awjuliani (RL part), @pkmital (conv-deconv autoencoder).
Here are my favorite deep learning blogs: colah.github.io, karpathy.github.io, wildml.com

Dependencies

tensorflow (>0.12.1)
numpy
matplotlib
gym (Frozen Lake only)

An update one the repo will be done soone (python 3.5 and Tensorflow 1.2)

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Seminar: intro to deep learning with tensorflow

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