Table of Contents

  1. Customer Hyper-personalization
  2. Introduction to Design Patterns and Neural Networks
  3. Design Patterns in Visual Representation Learning
  4. Design Patterns for Non-Visual Representation Learning
  5. Design Patterns for Transformers
  6. Data Distribution Challenges and Strategies
  7. Model Training Philosophies
  8. Hyperparameter Tuning
  9. Transfer Learning
  10. Setting Up Data and Deployment Pipelines