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About COMP3308/3608 Artificial Intelligence Week 9 Tutorial Exercises Multilayer Neural Networks 2. Deep Learning
This document provides exercises for a tutorial on multilayer neural networks and deep learning. It includes 9 exercises covering topics like: - Deriving and writing the weight update rule for the hyperbolic tangent sigmoid activation function - Calculating the number of weights in a sample neural network - Factors that influence the performance of the backpropagation algorithm, like network architecture - The effect of learning rate on convergence in backpropagation - The advantage of using momentum in backpropagation - How too many hidden neurons can lead to poor generalization - An example of convolution in deep neural networks - Working through a detailed backpropagation example to understand the forward and backward passes
Detailed Information
| Author: | ['hariet'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 2 |
| Language: | English |
| Format: | |
| Price: | FREE |
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