Download Ebook Deep Learning Objective Type Questions PDF Free - Full Version
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About Ebook Deep Learning Objective Type Questions
This document provides an overview of perceptrons and neural networks in deep learning. It defines a perceptron as a basic artificial neuron that can perform linear binary classification. Perceptrons have limitations as they can only learn linearly separable functions. Neural networks address this by connecting multiple perceptrons together in different layers. This allows neural networks to handle non-linear problems using techniques like backpropagation and gradient descent to update weights. The document contrasts perceptrons and neural networks, providing examples of their applications and limitations.
Detailed Information
| Author: | ['Nihar Shah'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 102 |
| Language: | English |
| Format: | |
| Price: | FREE |
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