Deep Learning algorithms with TensorFlow

This repository is a collection of various Deep Learning algorithms implemented using the TensorFlow library. This package is intended as a command line utility you can use to quickly train and evaluate popular Deep Learning models and maybe use them as benchmark/baseline in comparison to your custom models/datasets.

Requirements:

• tensorflow >= 0.8

List of available models:

• Convolutional Networks
• Restricted Boltzmann Machine
• Deep Belief Network
• Deep Autoencoder
• Denoising Autoencoder
• Stacked Denoising Autoencoder
• MultiLayer Perceptron

Installation

Through github:

• cd in a directory where you want to store the project, e.g. /home/me
• clone the repository: git clone https://github.com/blackecho/Deep-Learning-TensorFlow.git
• cd Deep-Learning-TensorFlow
• now you can configure the software and run the models (see the documentation)!

Documentation:

You can find the documentation for this project at this link.