README.md

Deep learning for NLP track

Four week deep learning course + coding assignment --> Kaggle competition
❗= Compulsory materials and assignments

Supplimentary Material

• (Spacy) Advanced NLP
• Dan Jurafsky (NLP book)
• Manning (NLP course)

Week 1 - Intro to DL for NLP

Course material:

• Theory:

  • (Blog)Word embeddings
  • (CMU)Intro to Deep Learning for NLP

• Practice:

  • ❗Fastai NLP Lecture

Coding assignment: Implement an image classifier with any dataset

1. ❗ Explore kaggle dataset Jigsaw Unintended Bias in Toxicity Classification

Week _ - Kaggle competition

• Jigsaw Unintended Bias in Toxicity Classification
• Paper: Bias evaluation metrics

Materials for catching up

For newcomers to catch up with Fastai library and basics of deep learning

• Deep learning track
• Fastai course
• Fastai course notebooks