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About Machine Learning Tutorial
This document outlines the prerequisites and topics that will be covered in a deep learning course. The prerequisites include courses in linear algebra, calculus, probability and statistics, and algorithms, as well as experience with Python and scientific toolkits. The course topics include neural networks, backpropagation, optimization for deep learning, CNNs, RNNs, attention models, generative models, and reinforcement learning.
Detailed Information
| Author: | ['Rupesh Nidhi'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 149 |
| Language: | English |
| Format: | |
| Price: | FREE |
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