Learning Using Neural Networks – II | Artificial Intelligence | Video lecture

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 Learning Using Neural Networks РII

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TOPICS:

Instructional Objectives1:19
Artificial Neural Networks
Some real ANN usages
When to use ANN
Gradient Descent
Linear Separability
Different Non-Linearly Separable Problems
Multi-layer Feed-forward Network
An extra layer models a convex hull
What type of units to use?
Common Activation Functions
The Sigmoid Function
Sigmoid Unit
Sigmoidal Neurons
Training by gradient descent
Error gradient for a sigmoid unit
Supervised Learning Backprop
Multi-Layer Networks
Training by gradient descent
Backpropagation
Early stopping
Early stoppmg
Early stopping
Supervised Learning in ANNs
Types of Layers
Neural Network Problems
Design step for ANN
Parameter setting
Training time
Sonar target recognition

 

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