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Viac informácií o knihe Math for Deep Learning

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Anotácia knihy

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.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. 

Parametre knihy

Zaradenie knihy Knihy po nemecky Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Celý názov: Math for Deep Learning
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 344
• EAN: 9781718501904
• ISBN: 1718501900
• ID: 36537261
• Nakladateľ: Random House Publishing
• Hmotnosť: 636 g
• Rozmery: 232 × 177 × 24 mm
• Dátum vydania: 07. December 2021

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