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Deep Learning with Python

PART1 : THE FUNDAMENTALS OF DEEP LEARNING

  1. WHAT IS DEEP LEARNING?
    • 1.1 Artificial intelligence, machine learning, and deep learning
    • 1.2 Before deep learning: a brief history of machine learning
    • 1.3 Why deep learning? Why now?
  2. BEFORE WE START: THE MATHEMATICAL BLOCKS OF NEURAL NETWORKS
    • 2.1 A first look at a neural network
    • 2.2 Data representations for neural networks
    • 2.3 The gears of neural networks: tensor operations
    • 2.4 The engine of neural networks: gradient-based optimization
    • 2.5 Looking back at out first exampel
  3. GETTING STARTED WITH NEURAL NETWORKS
  4. FUNDAMENTALS OF MACHINE LEARNING

PART2 : DEEP LEARNING IN PRACTICE

  1. DEEP LEARNING FOR COMPUTER VISION
  2. DEEP LEARNING FOR TEXT AND SEQUENCES
  3. ADVANCED DEEP LEARNING BEST PRACTICES
  4. GENERATIVE DEEP LEARNING
  5. CONCLUSIONS

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