Introduction to Neural Networks - Lecture 5

Introduction to Neural Networks - Lecture 5

UCF CRCV via YouTube Direct link

The machine learning framework

10 of 19

10 of 19

The machine learning framework

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Introduction to Neural Networks - Lecture 5

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  1. 1 Intro
  2. 2 Our goal in object classification
  3. 3 Pixel-based representation
  4. 4 What we want
  5. 5 Some feature representations
  6. 6 Image classification - ImageNet
  7. 7 Features
  8. 8 Recognition task and supervision
  9. 9 Spectrum of supervision
  10. 10 The machine learning framework
  11. 11 Neurons in the Brain
  12. 12 Background in Neural Nets (NN)
  13. 13 Brain is a remarkable Computer
  14. 14 Computational Implementation of the Neural Activation Function
  15. 15 Binary classifying an image
  16. 16 Neural Networks - multiclass
  17. 17 Bias convenience
  18. 18 Composition
  19. 19 Problem 1 with all linear functions

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