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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 e7138d9f68 Added tutorial index %!s(int64=10) %!d(string=hai) anos
README.md e7138d9f68 Added tutorial index %!s(int64=10) %!d(string=hai) anos
alexnet.py 190bb8d8cd added alexnet & update loss %!s(int64=10) %!d(string=hai) anos
basic_operations.py c1d6157e3f adde basic examples %!s(int64=10) %!d(string=hai) anos
convolutional_network.py a5af4b9eb6 added accuracy %!s(int64=10) %!d(string=hai) anos
helloworld.py c1d6157e3f adde basic examples %!s(int64=10) %!d(string=hai) anos
input_data.py 908f7cc24c added mnist data script %!s(int64=10) %!d(string=hai) anos
linear_regression.py fc9f191966 added linear and logistic reg %!s(int64=10) %!d(string=hai) anos
logistic_regression.py fc9f191966 added linear and logistic reg %!s(int64=10) %!d(string=hai) anos
multigpu_basics.py 530dc64989 added basic operations with multi GPU %!s(int64=10) %!d(string=hai) anos
multilayer_perceptron.py 7d481b3c7a added mlp %!s(int64=10) %!d(string=hai) anos
nearest_neighbor.py 12a70fee2b update docs & fix %!s(int64=10) %!d(string=hai) anos
recurrent_network.py d3ed2c9bb9 added dev state %!s(int64=10) %!d(string=hai) anos

README.md

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...