Fast.ai courses: Part 2: Deep Learning from the Foundations

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One of the very appealing aspects of Machine learning these days is the ability to learn from very good people. Jeremy Howard at fast.ai does that very well and he just announced a new course entitled Part 2: Deep Learning from the Foundations.

Here are the list of courses so far:

• Part 1: Practical Deep Learning for Coders 
• Part 2: Deep Learning from the Foundations
• 8 - Backprop from the foundations
• 9 - The training in depth
• 10 - Looking inside the model
• 11 - Data Block API; generic optimizer
• 12 - Advanced training; ULMFiT
• 13 - Swift: Deep Learning Basics
• 14 - Swift: Putting it all together

also

• Computational Linear Algebra for Coders
• Introduction to Machine Learning for Coders!

• Getting started
• Lessons (Part 1)
• Lessons (Part 2)
  • Part 2 overview
  • 8 - Backprop from the foundations
  • 9 - The training in depth
  • 10 - Looking inside the model
  • 11 - Data Block API; generic optimizer
  • 12 - Advanced training; ULMFiT
  • 13 - Swift: Deep Learning Basics
  • 14 - Swift: Putting it all toget

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