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About Deep Learning 2 July 2014
The document provides an overview of deep learning in neural networks. It summarizes relevant work from the previous century on shallow and deep learners. Deep learners are distinguished by the depth of their credit assignment paths, which are chains of possibly learnable, causal links between actions and effects. The document reviews the history of deep supervised learning using backpropagation, unsupervised learning, reinforcement learning, and methods for indirectly searching for compact neural networks.
Detailed Information
| Author: | ['Akshay'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 75 |
| Language: | English |
| Format: | |
| Price: | FREE |
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