Math for Deep Learning(English, Paperback, Kneusel Ron)

Know about the book -

Math for Deep Learning(English, Paperback, Kneusel Ron) is written by Kneusel Ron and published by No Starch Press,US. It's available with International Standard Book Number or ISBN identification 1718501900 (ISBN 10) and 9781718501904 (ISBN 13).

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.