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Slides

Lectures

Day 1

  1. Deep Learning Theory and PyTorch Introduction
  2. Building a Custom MLP from Scratch
  3. Non-contextual embeddings: Word2Vec, Skip-Gram, GloVe
  4. NLP with spaCy
  5. Exercise: build a CBOW Word2Vec model with PyTorch

Day 2

  1. Building a Transformer Architecture
  2. Intro to the Transformers Library by HuggingFace
  3. Exercise: Words Disambiguation