TensorFlow Examples by aymericdamien

Python2
10
0.1.3

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Readme.md

TensorFlow Examples

There is updated version of this code in Python 3 and Tensorflow 1.3 Aymericdamien TensorFlow Examples

Code examples for some popular machine learning algorithms, using TensorFlow library. This tutorial is designed to easily dive into TensorFlow, through examples. It includes both notebook and code with explanations.

Tutorial index

1 - Introduction

2 - Basic Classifiers

3 - Neural Networks

4 - Multi GPU

5 - User Interface (Tensorboard)

More Examples

The following examples are coming from TFLearn, a library that provides a simplified interface for TensorFlow. You can have a look, there are many examples and pre-built operations and layers.

Basics

Computer Vision

Natural Language Processing

Dependencies

tensorflow
numpy
matplotlib
cuda (to run examples on GPU)
tflearn (if using tflearn examples)

For more details about TensorFlow installation, you can check Setup_TensorFlow.md

Dataset

Some examples require MNIST dataset for training and testing. Don't worry, this dataset will automatically be downloaded when running examples (with input_data.py). MNIST is a database of handwritten digits, with 60,000 examples for training and 10,000 examples for testing. (Website: http://yann.lecun.com/exdb/mnist/)

Changelog

  • [2017-08-30 07:39:04] v0.1.3: Add information about updated version

  • [2016-05-29 20:43] v0.1.2 : Move files to main folder

  • [2016-05-29 15:26] v0.1.1 : Clone repository, fresh install of TensorFlow