Deep Belief Nets Series

3 primary works • 3 total works
Deep belief nets are one of the most exciting recent developments in artificial intelligence. The structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable of learning abstract concepts built from simpler primitives. A typical deep belief net can learn to…

Book 1

Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
Deep belief nets are one of the most exciting rece…
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Book 2

Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
Deep belief nets are one of the most exciting rece…
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Book 3

Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Deep belief nets are one of the most exciting rece…
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