Deeper: What's next?

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If you've finished all five modules, congratulations! 🎉🎉 You are now familiar with some of the hottest topics in deep learning today. You might want to continue your deep learning journey with the links listed below. 🚀 are must-clicks!

  1. 2018-Mar Tess Ferrandez: Notes from Andrew Ng's courses
  2. 2016-Jan Sebastian Ruder: Gradient Descent Optimization Algorithms
  3. 2016-Sep Fjodor Van Veen: The Neural Network Zoo
  4. 🚀 Distill.pub: A modern medium presenting research
  5. 18 min 2015-Feb Ian Goodfellow: Adversarial Examples
  6. 🚀 37 min 2019-Jan Ava Soleimany: Limitations and New Frontiers
  7. 💰💰 Brandon Rohrer: Neural Network Visualization
  8. 🚀 Fast.AI: Practical and Cutting-Edge Deep-learning for Coders (free course)
  9. 2018-Nov Lilian Weng: Meta-Learning: Learning to Learn Fast
  10. 52 min 2017-Dec Pieter Abbeel: Deep Learning for Robotics
  11. 43 min 2018-Jan David Silver: Mastering games without Human Knowledge
  12. Papers with Code | Zaur Fataliyev: PWC

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