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Math for Deep Learning
- What You Need to Know to Understand Neural Networks
Engelsk Paperback
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Math for Deep Learning
- What You Need to Know to Understand Neural Networks
Engelsk Paperback

412 kr
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6 - 8 hverdage

Om denne bog
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.
Product detaljer
Sprog:
Engelsk
Sider:
344
ISBN-13:
9781718501904
Indbinding:
Paperback
Udgave:
ISBN-10:
1718501900
Udg. Dato:
7 dec 2021
Længde:
23mm
Bredde:
233mm
Højde:
180mm
Forlag:
No Starch Press,US
Oplagsdato:
7 dec 2021
Forfatter(e):
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