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

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Aymeric Damien 148dc52ba3 Merge pull request #1 from aymericdamien/dev		9 tahun lalu
examples	d4bce7088c minor fix	9 tahun lalu
notebooks	19d93f12a6 fix json	9 tahun lalu
LICENSE	4fbed84d52 change project layout	9 tahun lalu
README.md	63afc23dc0 update description	9 tahun lalu
Setup_TensorFlow.md	3f7255a66b minor fix	9 tahun lalu
input_data.py	908f7cc24c added mnist data script	9 tahun lalu
multigpu_basics.py	530dc64989 added basic operations with multi GPU	9 tahun lalu

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

Hello World (notebook) (code)
Basic Operations (notebook) (code)

2 - Basic Classifiers

Nearest Neighbor (notebook) (code)
Linear Regression (notebook) (code)
Logistic Regression (notebook) (code)

3 - Neural Networks

Multilayer Perceptron (notebook) (code)
Convolutional Neural Network (notebook) (code)
AlexNet (notebook) (code)
Reccurent Network (code)

4 - Multi GPU

Basic Operations on multi-GPU (notebook) (code)

Dependencies

tensorflow
numpy
matplotlib
cuda (to run examples on GPU)

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/)

Other tutorials are coming soon...

README.md