Lesson 4 Timeline

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  • 0:00 - CNN review (excel)
  • 11:28 - SGD (excel)
  • 11:43 - CNN/SGD Q&A
  • 26:31 - Visualizing SGD in 2D and 3D
  • 28:53 - Visualizing and explaining Momentum in 3D
  • 32:20 - Momentum
  • 34:35 - Dynamic Learning Rates and Adagrad
  • 41:15 - RMSprop
  • 46:14 - Adam
  • 49:00 - Eve
  • 53:52 - Jeremy's approach to automatic learning rate annealing
  • 56:57 - Jeremy's solution to Kaggle's "State Farm Distracted Driver Detection"
  • 1:22:50 - Introduction to Semi-Supervised Learning
  • 1:23:45 - Pseudo-Labeling
  • 1:25:35 - Jeremy's Kaggle solution Q&A
  • 1:36:01 - Collaborative Filtering
  • 1:51:45 - Collaborative Filtering Q&A
  • 1:58:26 - Collaborative Filtering (continued)