Restricted Boltzmann Machines in Python.

How to Use First, initialize an RBM with the desired number of visible and hidden units. rbm = RBM(num_visible = 6, num_hidden = 2) Next, train the machine: training_data = np.array([[1,1,1,0,0,0],[1,0,1,0,0,0],[1,1,1,0,0,0],

Related Repos

devsisters Human-Level Control through Deep Reinforcement Learning Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning. This implementation contains: Deep Q-network and Q-learning Experience replay

floydhub Website • Docs • Forum • Twitter • We're Hiring Update: I've built a quick tool based on this repo. Start running your Tensorflow project on AWS in <30seconds using Floyd. See It's free to try out.

kdexd MNIST Handwritten Digit Classifier An implementation of multilayer neural network using numpy library. The implementation is a modified version of Michael Nielsen's implementation in Neural Networks and Deep Learning book.

matthewearl Deep ANPR Using neural networks to build an automatic number plate recognition system. See this blog post for an explanation. Note: This is an experimental project and is incomplete in a number of ways, if you're looking for a p

jisaacso DeepHeart DeepHeart is a neural network designed for the [2016 Physionet Challenge] ( in predicting cardiac abnormalities from phonocardiogram (PCG) data. The challenge pro

erlendd About optomatic Optomatic is a Python library to aid hyperparameter searches for general machine-learning models. The goal of optomatic is to provide a tool that helps developers find good hyperparameters for their models in

edublancas sklearn-evaluation scikit-learn model evaluation made easy: plots, tables and markdown reports. Support for Python 3 only. Documentation here. Install pip install sklearn-evaluation Usage

mnielsen Code samples for "Neural Networks and Deep Learning" This repository contains code samples for my book on "Neural Networks and Deep Learning". The code is written for Python 2.6 or 2.7. Michal Daniel Dobrzanski has a repository