Deep Neural Networks Workshop on Spins, Games, and Networks
"Join the workshop on classifications with deep neural networks at The Institute of Mathematical Sciences, Chennai. Explore energy minimas of RBM architecture and autoencoder insights. Learn about varying temperatures in state space and Indus symbols. Get ready for an informative session! Questions? Thank you for your interest."
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Presentation Transcript
Classification with deep neural networks Workshop on Spins, Games and Networks at The Institute of Mathematical Sciences, Chennai Anuran Pal 17.12.24
Energy minimas of RBM Architecture : [16,512]
Hinton, Salakhutdinov; 2006, Science 313(5786) Autoencoder (A) The fraction of retrieved documents in the same class as the query when a query document from the test set is used to retrieve other test set documents, averaged over all 402,207 possible queries. (B) The codes produced by two-dimensional LSA. (C) The codes produced by a 2000-500-250-125-2 autoencoder. (A) The two-dimensional codes for 500 digits of each class produced by taking the first two principal components of all 60,000 training images. (B) The two- dimensional codes found by a 784-1000-500-250-2 autoencoder LSA -Latent Semantic Analysis
Varying the temperature T=2.5 T=1.9 T=0.76 Temperature T=0.0 State Space
Thank you Questions?
