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About P. Balamurugan Deep Learning - Theory and Practice
The document outlines a deep learning course, including: 1. Credit requirements including a project, exams, assignments, and programming contests. 2. Programming skills in Python are essential. 3. Study materials include lecture slides, reference books on deep learning and linear algebra, and web resources. 4. Applications of deep learning discussed include handwriting recognition, object recognition, machine translation, and image generation. 5. An introduction to the perceptron is provided, including its biological motivation and key assumptions.
Detailed Information
| Author: | ['Ankit Kumar'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 29 |
| Language: | English |
| Format: | |
| Price: | FREE |
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