Visualization of the hidden node activities or hidden secrets of neural networks. Włodzisław Duch Department of Informatics Nicolaus Copernicus University,
Deep learning with multiplicative interactions Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of.
CIAR Second Summer School Tutorial Lecture 2a Learning a Deep Belief Net Geoffrey Hinton.
Pontifical Catholic University of the Rio Grande do Sul Brazil Applying Artificial Neural Networks to Energy Quality Measurement Fernando Soares dos Reis.
Cortical Receptive Fields Using Deep Autoencoders Work done as a part of CS397 Ankit Awasthi (Y8084) Supervisor: Prof. H. Karnick.
CIAR Second Summer School Tutorial Lecture 1b Contrastive Divergence and Deterministic Energy-Based Models Geoffrey Hinton.
CSC2535 2013 Advanced Machine Learning Lecture 4 Restricted Boltzmann Machines
Cortical Receptive Fields Using Deep Autoencoders
CSC2535 2013 Advanced Machine Learning Lecture 4 Restricted Boltzmann Machines Geoffrey Hinton.
Deep Learning
