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Contents:

  • Part I: Applied Math and Machine Learning Basics
  • Part II: Modern Practical Deep Networks
    • 8 Optimization for Training Deep Models
    • 9 The convolutional Networks
    • 11 Practical Methodoloogy
    • 12 Applications
      • External Resources On Computer Vision
      • External Resource on Natural Language Processing
  • Part III: Deep Learning Research
  • Extra
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  • 12 Applications
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12 ApplicationsΒΆ

  • External Resources On Computer Vision
  • External Resource on Natural Language Processing
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