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About Chapter VI - Introduction To Deep Learning
This document provides an introduction to deep learning. It begins by defining deep learning and how it differs from traditional machine learning by being able to automatically extract relevant features from data without needing human intervention. It then discusses the anatomy of a deep learning network, including its layers, input/targets, loss functions, and optimizers. Popular deep learning algorithms like convolutional neural networks and recurrent neural networks are also introduced. Finally, commonly used deep learning frameworks like TensorFlow and PyTorch are briefly described.
Detailed Information
| Author: | ['Halbeega Waayaha'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 38 |
| Language: | English |
| Format: | |
| Price: | FREE |
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