Introduction to Neural Networks - Part II - Lecture 8

Introduction to Neural Networks - Part II - Lecture 8

UCF CRCV via YouTube Direct link

Problem 1 with all linear functions

7 of 13

7 of 13

Problem 1 with all linear functions

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Classroom Contents

Introduction to Neural Networks - Part II - Lecture 8

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

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