What You'll Learn
- Understand model optimization techniques: Pruning, Distillation, and Quantization
- Learn the basics of data types like FP32, FP16, BFloat16, and INT8
- Master downcasting from FP32 to BF16 and FP32 to INT8
- Learn the difference between symmetric and asymmetric quantization
- Implement quantization techniques in Python with real examples
- Apply quantization to make models more efficient and deployment-ready
- Gain practical skills to optimize models for edge devices and resource-constrained environments
Requirements
- Basic Python knowledge is recommended, but no prior AI experience is required.
Who This Course is For
- Beginners in machine learning looking to learn practical model optimization techniques like quantization
- AI professionals and students wanting to optimize models for deployment on resource-constrained devices
Your Instructor
Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries
4.5 Instructor Rating
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2,050,121 Students
132 Courses
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