Machine Learning
2026
2
2025
2
2024
6
- Additional Deep Learning Topics: Transfer Learning, Model Compression, and Anomaly Detection Generative and Diffusion Models: GANs, Conditional Generation, and Diffusion Training Self-Attention and Transformer Architecture: BERT, GPT, and Multi-Head Attention
- Deep Learning Network Architectures: CNNs, RNNs, and Seq2Seq
- Machine Learning Supplementary Topics: Multiclass Learning, Class Imbalance, and Clustering Evaluation
- Deep Learning Basics: Neural Networks, Optimization, and Normalization