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About 10 1 1 672 7118 PDF
This document is an introduction to deep learning. It covers topics such as machine learning, neural networks, linear algebra, probability, numerical computation, and feedforward deep networks. The table of contents outlines chapters on deep learning for AI, linear algebra, probability and information theory, numerical computation, machine learning basics, and feedforward deep networks. It is intended to provide an overview of the key concepts and mathematics underlying deep learning.
Detailed Information
| Author: | ['khiku'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 35 |
| Language: | English |
| Format: | |
| Price: | FREE |
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