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 d5e3592ce1 update comments		10 anni fa
README.md	58cd54d2cb fix typo	10 anni fa
alexnet.py	190bb8d8cd added alexnet & update loss	10 anni fa
basic_operations.py	c1d6157e3f adde basic examples	10 anni fa
convolutional_network.py	a5af4b9eb6 added accuracy	10 anni fa
helloworld.py	c1d6157e3f adde basic examples	10 anni fa
input_data.py	908f7cc24c added mnist data script	10 anni fa
linear_regression.py	d5e3592ce1 update comments	10 anni fa
logistic_regression.py	d5e3592ce1 update comments	10 anni fa
multigpu_basics.py	530dc64989 added basic operations with multi GPU	10 anni fa
multilayer_perceptron.py	7d481b3c7a added mlp	10 anni fa
nearest_neighbor.py	d5e3592ce1 update comments	10 anni fa
recurrent_network.py	d3ed2c9bb9 added dev state	10 anni fa

TensorFlow Examples

Basic code examples for some machine learning algorithms, using TensorFlow library.

Tutorial index

1 - Introduction

Hello World (code)
Basic Operations (code)

2 - Basic Classifiers

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

3 - Neural Networks

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

4 - Multi GPU

Basic Operations on multi-GPU (code)

Dependencies

tensorflow
numpy
matplotlib
cuda (to run examples on GPU)

Other tutorials are coming soon...

README.md