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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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...