This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation.

Aymeric Damien f6ffc1967f Update README.md 9 سال پیش
examples ddfafb212b add autoencoder example 9 سال پیش
notebooks e37cd55574 Create input_data.py 9 سال پیش
LICENSE 4fbed84d52 change project layout 9 سال پیش
README.md f6ffc1967f Update README.md 9 سال پیش
Setup_TensorFlow.md f5e3be5a50 Update Setup_TensorFlow.md 9 سال پیش
input_data.py 908f7cc24c added mnist data script 9 سال پیش
multigpu_basics.py 530dc64989 added basic operations with multi GPU 9 سال پیش

README.md

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/)