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Lecture 2A: CNNs

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In this video, we first review convolution operation, the most basic property of Convolutional Neural Networks. Then, we look at other important operations for ConvNets. Finally, we transition to looking at a classic ConvNet architecture called LeNet.

  • 00:00 - Introduction
  • 01:08 - Convolutional Filters
  • 07:10 - Filter Stacks and ConvNets
  • 11:25 - Strides and Padding
  • 14:35 - Filter Math
  • 21:44 - Convolution Implementation Notes
  • 24:04 - Increasing the Receptive Field with Dilated Convolutions
  • 27:30 - Decreasing the Tensor Size with Pooling and 1x1-Convolutions
  • 30:54 - LeNet Architecture