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Details for:
Kneusel R. Math For Deep Learning...Neural Networks 2022
kneusel r math deep learning neural networks 2022
Type:
E-books
Files:
1
Size:
17.0 MB
Uploaded On:
Sept. 29, 2021, 12:32 p.m.
Added By:
andryold1
Seeders:
3
Leechers:
0
Info Hash:
CE816C6D1EBF6F4F4A53583DDD2CCC37D4079190
Get This Torrent
Textbook in PDF format With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You'll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network. In addition you'll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta
Get This Torrent
Kneusel R. Math For Deep Learning...Neural Networks 2022.pdf
17.0 MB
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