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 作者:Ahmed Fawzy Gad and Fatima Ezzahra Jarmouni
Publisher Finelybook 出版社 : Academic Press; 1st edition (December 10, 2020)
Language 语言: English
pages 页数: 300 pages
ISBN-10 书号: 0323909337
ISBN-13 书号 : 9780323909334
The Book Description robot was collected from Amazon and arranged by Finelybook
Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide is an intensive step-By 作者:-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python™ code examples to clarify neural network calculations, By 作者: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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