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Convolutional Neural Networks - Full Stack Deep Learning - Spring 2021

Convolutional Neural Networks - Full Stack Deep Learning - Spring 2021

The Full Stack via YouTube Direct link

- Introduction

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- Introduction

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Convolutional Neural Networks - Full Stack Deep Learning - Spring 2021

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  1. 1 - Introduction
  2. 2 - Convolutional Filters
  3. 3 - Filter Stacks and ConvNets
  4. 4 - Strides and Padding
  5. 5 - Filter Math
  6. 6 - Convolution Implementation Notes
  7. 7 - Increasing the Receptive Field with Dilated Convolutions
  8. 8 - Decreasing the Tensor Size with Pooling and 1x1-Convolutions
  9. 9 - LeNet Architecture

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