Deep Learning
2026
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2025
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2024
5
- 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
- Deep Learning Basics: Neural Networks, Optimization, and Normalization
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