TensorFlow-Examples/README.md

TensorFlow Examples

Code examples for some popular machine learning algorithms, using TensorFlow library. Both code and notebook are available.

Tutorial index

1 - Introduction

• Hello World (notebook) (code)
• Basic Operations (notebook) (code)

2 - Basic Classifiers

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

3 - Neural Networks

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

4 - Multi GPU

• Basic Operations on multi-GPU (notebook) (code)

Dependencies

tensorflow
numpy
matplotlib
cuda (to run examples on GPU)

For more details about TensorFlow installation, you can check Setup_TensorFlow.md

Dataset

Some examples require MNIST dataset for training and testing. Don't worry, this dataset will automatically be downloaded when running examples (with input_data.py). MNIST is a database of handwritten digits, with 60,000 examples for training and 10,000 examples for testing. (Website: http://yann.lecun.com/exdb/mnist/)

Other tutorials are coming soon...