From Zero to Cybersecurity Analyst

Deep Learning Tutorial

Deep Learning Tutorial

MITCBMM via YouTube Direct link

Why Deep Networks

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Why Deep Networks

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Classroom Contents

Deep Learning Tutorial

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  1. 1 Introduction
  2. 2 Supervised Learning
  3. 3 Multilayer Perception
  4. 4 Why Deep Networks
  5. 5 Back Propagation
  6. 6 Quadratic Loss
  7. 7 Historical Perspective
  8. 8 Convolution
  9. 9 Example
  10. 10 Nonlinearity
  11. 11 Pooling
  12. 12 Evolutionary Steps
  13. 13 Applications
  14. 14 Gradient Explosion
  15. 15 Recurrent Unit
  16. 16 Training Paradigm

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