Deep Computer Vision

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  • Learn what a convolutional neural network is and the mathematics behind recognizing images
  • Be familiarized with widely-used techniques like transfer learning, feature preprocessing, data augmentation, and layer visualization

Videos + Readings
  1. 18 min 2015-Mar Fei Fei Li: How we teach computers to understand pictures
  2. 16 min 2017-May Caryk Huang: Teaching my computer to give me friends
  3. 27 min 2016-Aug Brandon Rohrer: How CNNs work
  4. 2018-Jun Irhum Shafkat: Intuitively understanding convolutions for deep learning
  5. 33 min 2017-Mar Luis Serrano: A friendly introduction to CNNs and image recognition
  6. Andrej Karpathy: Visualizing what CovNets learn
  7. Adam Harley: Interactive Visualization of CNN

Coding Exercises
  1. 2017-Jan Alex Staravoitau: Traffic Sign Classification
  2. Sasank Chilamkurthy: Classifying ants and bees (Transfer Learning)
  3. 2016-Jan Francois Chollet: How convolutional neural networks see the world
  4. Alexis Jacq: Neural Transfer Using PyTorch

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