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Classroom Contents
Introduction to Neural Networks - Part II - Lecture 8
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- 1 Administrative
- 2 Computational Implementation of the Neural Activation Function
- 3 Binary classifying an image
- 4 Neural Networks - multiclass
- 5 Bias convenience
- 6 Composition
- 7 Problem 1 with all linear functions
- 8 Let's introduce non-linearities
- 9 Activation Functions
- 10 UCF Perceptron model
- 11 Multi-layer perceptron (MLP)
- 12 Goals
- 13 MLP performance on MNIST
