Description: Math for Deep Learning : What You Need to Know to Understand Neural Networks, Paperback by Kneusel, Ronald T., ISBN 1718501900, ISBN-13 9781718501904, Like New Used, Free shipping in the US To truly understand the power of deel learning, you need to grasp the mathematical concepts that make it tick. "Math for deep learning" will give you a working knowledge of probability, statistics, linear algebra, and differential calculus-- the essential math subfields required to practice deep learning successfully. Each subfield is explained with Python code and hands-on, real-world examples that bridge the gap between pure mathematics and its applications in deep learning. Th begins with fundamentals such as Bayes' theorem before progressing to more advanced concepts like training neural networks using vectors, matrices, and derivatives of functions. You'll then put all this math to use as you explore and implement backpropagation and gradient descent-- the foundational algorithms that have enabled the AI revolution.
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Book Title: Math for Deep Learning : What You Need to Know to Understand Neur
Item Length: 9.1in
Item Height: 0.9in
Item Width: 7in
Author: Ronald T. Kneusel
Publication Name: Math for Deep Learning : What You Need to Know to Understand Neural Networks
Format: Trade Paperback
Language: English
Publisher: No Starch Press, Incorporated
Publication Year: 2021
Type: Textbook
Item Weight: 23.2 Oz
Number of Pages: 344 Pages
