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About Foundations of Deep Learning
The document provides an overview of the foundations of deep learning. It discusses what deep learning is, what enabled its recent revolution including large amounts of data and computational power. It introduces key deep learning concepts like neural networks, activation functions, universal approximation theorem, and how neural networks are trained via backpropagation. Applications discussed include classification, regression, clustering, reinforcement learning, and self-driving cars.
Detailed Information
| Author: | ['takunda'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 48 |
| Language: | English |
| Format: | |
| Price: | FREE |
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