NEURAL NETWORKS
What's a Neural Network
Supervised Learning
Nonincremental vs. Incremental
Neural Networks
Network Function Approximators
Basic ``Neuron''
Linear Activation Function
Activation Functions
Feed-Forward Networks
Recurrent Networks
Computational Power
Perceptron Behavior
Gradient Descent Idea
Perceptron Training Rule
Gradient Descent on Squared Error
Perceptron Learning: Good
Perceptron Learning: Bad
Linear Separability
Example
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Gradient Descent (10)
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Gradient Descent (10)
