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About Lecture Notes For Chapter 4 Artificial Neural Networks: Data Mining
The document discusses artificial neural networks (ANN) and deep learning. It introduces the basic idea of ANN as networks of simple processing units that can learn complex nonlinear functions. The simplest ANN is the perceptron, which learns linear decision boundaries. Multi-layer neural networks can learn nonlinear functions using techniques like backpropagation to calculate gradients and update weights. Recent trends in deep learning allow training very deep neural networks with many layers to learn complex hierarchical features from data.
Detailed Information
| Author: | ['Ishwar Mht'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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