Boltzmann Machines in TensorFlow with examples

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

Restricted Boltzmann Machines (RBMs) and Deep Belief Networks (DBNs) from scratch for representation learning on the MNIST dataset.

A Python3-NumPy implementation of contrastive divergence algorithm for training Gaussian-Bipolar Restricted Boltzmann Machines

Machine Learning Basics: Artificial Neural Networks, Generative Modeling, Boltzmann Machines, GANs

In summer 2017, I was an intern at the Purdue University working under Prof Bruno Ribeiro on improving the training of Restricted Boltzmann Machines. We used the Las Vegas transformation of Markov Chain Monte Carlo method to obtain better samples to estimate the negative phase of the gradient. The model trained via this method achieved a signifi…