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06. Demystifying Convolutional Networks

README.md

Chapter 6. Demystifying Convolutional Networks

  • 6.1. What is CNN?
    • 6.1.1 Convolutional Layer
      • 6.1.1.1 Stride
      • 6.1.1.2 Padding
    • 6.1.2. Pooling Layer
    • 6.1.3. Fully connected Layer
  • 6.2. Architecture of CNN
  • 6.3. Math of CNN
    • 6.3.1. Forward Propagation
    • 6.3.2. Backward Propagation
  • 6.4. Implementing CNN in tensorflow
  • 6.5. Different types of CNN architectures
    • 6.5.1. LeNet
    • 6.5.2. AlexNet
    • 6.5.3. VGGNet
    • 6.5.4. Inception Net
  • 6.6. Capsule networks
    • 6.6.1. Understanding Capsule nets
      • 6.6.1.1. Computing prediction vectors
      • 6.6.1.2. Coupling coefficients
      • 6.6.1.3. Squashing function
    • 6.6.2. Dynamic Routing Algorithm
    • 6.6.3. Architecture of capsule network
    • 6.6.4. Margin and Reconstrutction Loss
  • 6.7. Building capsule networks in Tensorflow