Introduction to Deep Learning and Neural Networks with Python™ : A Practical Guide

by Ahmed Fawzy Gad , Fatima Ezzahra Jarmouni

Book Details

Format Paperback / Softback

ISBN-10 0323909337

ISBN-13 9780323909334

Publisher Elsevier Science & Technology

Imprint Academic Press Inc

Country of Manufacture NL

Country of Publication GB

Publication Date Nov 26th, 2020

Print length 300 Pages

Weight 482 grams

Dimensions 15.30 x 22.90 x 2.00 cms

Product Classification: Physiology Science: general issues Neurosciences

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Ksh 20,700.00

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Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python™ code examples to clarify neural network calculations, by book’s end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and Python™ examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.

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