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

20 Commits

6 Branches

0 Releases

Aymeric Damien 58cd54d2cb fix typo		vor 11 Jahren
README.md	58cd54d2cb fix typo	vor 11 Jahren
alexnet.py	190bb8d8cd added alexnet & update loss	vor 11 Jahren
basic_operations.py	c1d6157e3f adde basic examples	vor 11 Jahren
convolutional_network.py	a5af4b9eb6 added accuracy	vor 11 Jahren
helloworld.py	c1d6157e3f adde basic examples	vor 11 Jahren
input_data.py	908f7cc24c added mnist data script	vor 11 Jahren
linear_regression.py	fc9f191966 added linear and logistic reg	vor 11 Jahren
logistic_regression.py	fc9f191966 added linear and logistic reg	vor 11 Jahren
multigpu_basics.py	530dc64989 added basic operations with multi GPU	vor 11 Jahren
multilayer_perceptron.py	7d481b3c7a added mlp	vor 11 Jahren
nearest_neighbor.py	12a70fee2b update docs & fix	vor 11 Jahren
recurrent_network.py	d3ed2c9bb9 added dev state	vor 11 Jahren

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