Topic: contrastive-divergence-algorithm Goto Github
Some thing interesting about contrastive-divergence-algorithm
Some thing interesting about contrastive-divergence-algorithm
contrastive-divergence-algorithm,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 significantly higher likelihood on the MNIST data as compared to the conventional model trained via Contrastive Divergence. This repository contains a brief report on my work.
User: bhavanajain
contrastive-divergence-algorithm,Machine Learning Basics: Artificial Neural Networks, Generative Modeling, Boltzmann Machines, GANs
User: dkomni
contrastive-divergence-algorithm,A Python3-NumPy implementation of contrastive divergence algorithm for training Gaussian-Bipolar Restricted Boltzmann Machines
User: isabekov
contrastive-divergence-algorithm,Restricted Boltzmann Machines (RBMs) and Deep Belief Networks (DBNs) from scratch for representation learning on the MNIST dataset.
User: mark-antal-csizmadia
contrastive-divergence-algorithm,RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
User: shikhargupta
contrastive-divergence-algorithm,Boltzmann Machines in TensorFlow with examples
User: yell
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