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LinkedIn Learning

Transformers: Text Classification for NLP Using BERT

via LinkedIn Learning


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Learn about transformers, the go-to architecture for NLP and computer vision tasks.


  • Natural language processing with transformers
  • How to use the exercise files
1. NLP and Transformers
  • How transformers are used in NLP
  • Transformers in production
  • Transformers history
  • Challenge: BERT model sizes
  • Solution: BERT model sizes
2. BERT and Transfer Learning
  • Bias in BERT
  • How was BERT trained?
  • Transfer learning
3. Transformer Architecture and BERT
  • Transformer: Architecture overview
  • BERT model and tokenization
  • Positional encodings and segment embeddings
  • Tokenizers
  • Self-attention
  • Multi-head attention and feedforward network
4. Text Classification
  • BERT and text classification
  • The Datasets library
  • Overview of IMDb dataset
  • Using a tokenizer
  • Tiny IMDb
  • A training run
  • Additional training runs

Taught by

Jonathan Fernandes


4.7 rating at LinkedIn Learning based on 41 ratings

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