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Course Outline Week 1: Introduction: Basics of Deep Learning Week 2: Efficient Inference: Pruning and Sparisity Week 3: Efficient Inference: Knowledge Distillation Week 4: Efficient Inference: Quantization Week 5: Efficient Inference: Neural Architecture Search Week 6: Domain‐Specific Optimization: Transformer and LLM Week 7: Domain‐Specific Optimization: Efficient Transformer Deployment Week 8: Domain‐Specific Optimization: Post Training策略第9周：域特异性优化：扩散模型的培训第10周：域特异性优化：扩散变压器的培训后第11周：有效培训：分布式培训第12周：有效培训：在设备培训和转移学习周期：13：未来周14：未来周：最终项目介绍15周：最终项目介绍
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