Chapter 14
Hyperparameter Optimization and Model Tuning
Chapter 15
Self-Supervised and Unsupervised Learning
Chapter 16
Deep Reinforcement Learning
Chapter 17
Model Explainability and Interpretability
Chapter 18
Kolmogorov-Arnolds Networks (KANs)
Chapter 19
Scalable Deep Learning and Distributed Training
Chapter 20
Building Large Language Model in Rust
Chapter 21
Emerging Trends and Research Frontiers
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