Math for Deep Learning

Math for Deep Learning КНИГИ » ПРОГРАММИНГ

Название: Math for Deep Learning
Автор: Ronald T. Kneusel
Издательство: No Starch Press
Год: 2022
Формат: True PDF
Страниц: 347
Размер: 10 Mb
Язык: English

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.

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