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About Unit 03 - Neural Networks - MD
This document provides an overview of unit 3 of the MITx 6.86x course, which covers neural networks. It introduces feedforward neural networks, recurrent neural networks, and convolutional neural networks. The key topics covered are the architecture of neural networks, including layers and units; common activation functions like ReLU and tanh; and how neural networks learn feature representations jointly with the classifier to improve performance compared to other nonlinear classification methods.
Detailed Information
| Author: | ['Mega Silvia Hasugian'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 24 |
| Language: | English |
| Format: | |
| Price: | FREE |
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