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About Dive Into Deep Learning
This document provides an introduction and overview of deep learning. It begins with an introductory example and overview of key concepts. It then discusses different types of machine learning problems and the historical roots and development of deep learning. The document outlines some notable success stories with deep learning and key characteristics. The remainder of the document covers various technical preliminaries and concepts important for deep learning like data manipulation, preprocessing, linear algebra, calculus, probability and more. It also includes chapters on linear neural networks and their implementation.
Detailed Information
Author: | ['Prasad Ganesh RKa'] |
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Publication Year: | 2021 |
Pages: | 291 |
Language: | English |
Format: | |
Price: | FREE |
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