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344 pages • first pub 2021 (view editions)
ISBN/UID: 9781718501904
Format: Paperback
Language: English
Publisher: Penguin Random House Publisher Services
Edition Pub Date: 06 July 2021
Description
You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gr...
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344 pages • first pub 2021 (view editions)
ISBN/UID: 9781718501904
Format: Paperback
Language: English
Publisher: Penguin Random House Publisher Services
Edition Pub Date: 06 July 2021
Description
You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gr...
Community Reviews
Content Warnings