Tensorflow and Deep Learning - Without a PhD

Tensorflow and Deep Learning - Without a PhD

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Introduction

1 of 19

1 of 19

Introduction

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Classroom Contents

Tensorflow and Deep Learning - Without a PhD

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  1. 1 Introduction
  2. 2 Outline
  3. 3 Neural network
  4. 4 Matrix multiply
  5. 5 Recap
  6. 6 Training the system
  7. 7 Training results
  8. 8 Placeholders and variables
  9. 9 Model
  10. 10 Gradient Descent
  11. 11 Weights
  12. 12 Training code recap
  13. 13 Layers
  14. 14 The Relu
  15. 15 The Problem
  16. 16 Results
  17. 17 Accuracy
  18. 18 Regularization
  19. 19 Zero

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