Lesson 1 Timeline

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  • 0:00 - Fast AI & the course
  • 5:29 - Why Deep Learning is exciting
  • 10:51 - Deep Learning setup
  • 16:02 - Deep Learning trends and applications
  • 20:06 - Starting your AWS instance
  • 27:07 - Introduction to Jupyter Notebooks
  • 33:43 - Introduction to Kaggle
  • 41:14 - Introduction to tmux
  • 52:57 - Kaggle Dogs vs. Cats data & general data structuring tips
  • 1:01:01 - Introduction to Markdown
  • 1:02:02 - Introduction to some scientific Python libraries
  • 1:09:23 - Pre-trained models & ImageNet
  • 1:27:02 - Keras and Theano settings
  • 1:34:38 - Finetuning ImageNet VGG16 for Dogs vs. Cats