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About 402B Deep Learning
This document discusses the basics of neural networks and deep learning. It covers the following topics: 1. Unit I discusses the basics of neural networks, including the perceptron algorithm and feedforward and backpropagation networks. 2. Unit II introduces deep learning concepts such as gradient descent, backpropagation, regularization, and techniques for faster training like dropout. 3. Unit III covers convolutional neural networks for tasks like image classification using transfer learning. 4. Unit IV discusses more deep learning architectures including LSTMs, autoencoders, generative adversarial networks. 5. Unit V applies deep learning techniques to problems in computer vision, natural language processing, text generation and more.
Detailed Information
| Author: | ['J.M Sai Teja'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 82 |
| Language: | English |
| Format: | |
| Price: | FREE |
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