Book Name: Deep Belief Nets in C++ and CUDA C: Volume 1
Author: Timothy Masters
File size: 3.9 MB
File format: PDF
Deep Belief Nets in C++ and CUDA C: Volume 1 Pdf Book Description:
Discover the vital building blocks of their most frequent kinds of profound belief networks. At every step this publication offers instinctive motivation, a list of the most significant equations applicable to the subject, and concludes with exceptionally commented code for threaded computation on contemporary CPUs in addition to huge parallel processing on computers using CUDA-capable video display titles.
The first of 3 in a string on C++ and CUDA C profound understanding and learning nets, Deep Belief Nets in C++ and CUDA C: Volume 1 shows you just how the arrangement of those elegant models is a lot nearer to that of individual minds compared to conventional neural networks; they’ve a thought process that’s capable of learning abstract theories assembled from simpler primitives. Therefore, you will see a normal deep belief web can learn how to recognize complex patterns by maximizing countless parameters, nevertheless this version may continue to be resistant to overfitting.
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