Table of Contents

  1. Understanding the basics of learning Process
  2. Text Processing Techniques
  3. Representing Language Mathematically
  4. Using RNN for NLP
  5. Applying CNN In NLP Tasks
  6. Accelerating NLP with Advanced Embeddings
  7. Applying Deep Learning to NLP tasks
  8. Application of Complex Architectures in NLP
  9. Understanding Generative Networks
  10. Techniques of Speech Processing
  11. The Road Ahead