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


Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide
by: Ahmed Fawzy Gad and Fatima Ezzahra Jarmouni
Publisher Finelybook 出版社:Academic Press (10 Dec. 2020)
Language 语言:English
pages 页数:300 pages
ISBN-10 书号:0323909337
ISBN-13 书号:9780323909334

Book Description
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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