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Math for deep learning: what you need to know to understand neural networks, ronald t. kneusel

799 грн
Описание

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.

Також купити книгу Math for Deep Learning: What You Need to Know to Understand
Neural Networks, Ronald T. Kneusel Ви можете по посиланню

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