Wrap-up

Deep Learning for Text with PyTorch

Shubham Jain

Instructor

What you learned

  • Chapter 1: Foundations of Text Processing
  • Chapter 2: Text Classification Techniques
  • Chapter 3: Text Generation Methods and Pre-trained Models
  • Chapter 4: Advanced Deep Learning Topics
Deep Learning for Text with PyTorch

Key takeaways

  • Encoding Text: one-hot, BoW, TF-IDF
  • Deep Learning Models: CNN, RNN, GAN
  • Advanced Techniques: Transformers & Attention
  • Adversarial Attacks on Text Classification
Deep Learning for Text with PyTorch

Applied learning

  • Implemented text classification models
  • Built text generation models
  • Used pre-trained models for text tasks
  • Applied transfer learning
Deep Learning for Text with PyTorch

What's next?

Deep Learning for Text with PyTorch

Congratulations and Thank You!

Deep Learning for Text with PyTorch

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