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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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aymericdamien 6f33ebe477 nearest neighbor classifier il y a 10 ans
README.md 05082102fa New description il y a 10 ans
alexnet.py 190bb8d8cd added alexnet & update loss il y a 10 ans
basic_operations.py c1d6157e3f adde basic examples il y a 10 ans
convolutional_network.py a5af4b9eb6 added accuracy il y a 10 ans
helloworld.py c1d6157e3f adde basic examples il y a 10 ans
input_data.py 908f7cc24c added mnist data script il y a 10 ans
linear_regression.py fc9f191966 added linear and logistic reg il y a 10 ans
logistic_regression.py fc9f191966 added linear and logistic reg il y a 10 ans
multigpu_basics.py 530dc64989 added basic operations with multi GPU il y a 10 ans
multilayer_perceptron.py 7d481b3c7a added mlp il y a 10 ans
nearest_neighbor.py 6f33ebe477 nearest neighbor classifier il y a 10 ans
recurrent_network.py d3ed2c9bb9 added dev state il y a 10 ans

README.md

TensorFlow Examples

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

Code Examples

  • Hello World
  • Basic Operations (add, mult,...)
  • Basic Operations on multi-GPU
  • Linear Regression
  • Logistic Regression
  • Multilayer Perceptron
  • Convolutional Neural Network
  • AlexNet
  • Reccurent Network
  • other coming soon...

A new layout and code comments are coming soon