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Few papers that I experimented with:

  1. AttentionAllNeed.ipynb [ Attention is all you need ]
  2. MoreCode/DenseNet.ipynb [ Densely Connected Convolutional Networks ]
  3. TheJourneyOfNLP.ipynb [ End-To-End Memory Networks , Neural Machine Translation by Jointly Learning to Align and Translate ]

Courses undertaken:

  1. CS231n: Convolutional Neural Networks for Visual Recognition
  2. (fast.ai part1) Deep Learning Part 1: Practical Deep Learning for Coders
  3. (fast.ai part2) Deep Learning Part 2: Cutting Edge Deep Learning for Coders
  4. CS224n: Natural Language Processing with Deep Learning
  5. CMU CS 11-747, Neural Networks for NLP
  6. CPSC 540: Machine Learning (Nando de Freitas)
  7. (NOT done throughly) CS 228: Probabilistic Graphical Models (experimented with pyro.ai)

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