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portada Introduction to Deep Learning and Neural Networks With Python™: A Practical Guide
Type
Physical Book
Publisher
Author
Year
2020
Language
English
Pages
300
Format
Paperback
ISBN13
9780323909334
Edition No.
1

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

Ahmed Fawzy Gad; Fatima Ezzahra Jarmouni (Author) · Academic Press Inc · Paperback

Introduction to Deep Learning and Neural Networks With Python™: A Practical Guide - Ahmed Fawzy Gad; Fatima Ezzahra Jarmouni

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Synopsis "Introduction to Deep Learning and Neural Networks With Python™: A Practical Guide "

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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