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About Machine Learning
The document provides an overview of deep learning methodology and its applications. Chapter 1 introduces deep learning as using multiple nonlinear transformations on inputs to extract features. Recent literature also describes it as representation learning with hierarchical features. Chapter 2 gives a brief history of deep learning and its impact on speech recognition. Chapters 3-6 discuss categorizations and examples of unsupervised, supervised, and hybrid deep networks.
Detailed Information
Author: | ['Anurag Singh'] |
---|---|
Publication Year: | 2014 |
Pages: | 134 |
Language: | English |
Format: | |
Price: | FREE |
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