mirror of
https://github.com/MLSysBook/TinyTorch.git
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4aec4ba297
- Removed 01_setup module (archived to archive/setup_module) - Renumbered all modules: tensor is now 01, activations is 02, etc. - Added tito setup command for environment setup and package installation - Added numeric shortcuts: tito 01, tito 02, etc. for quick module access - Fixed view command to find dev files correctly - Updated module dependencies and references - Improved user experience: immediate ML learning instead of boring setup
29 lines
756 B
YAML
29 lines
756 B
YAML
description: 'Model compression through pruning and sparsity. Students learn to identify
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and remove
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redundant parameters, achieving 70-80% sparsity while maintaining accuracy. Essential
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for edge deployment and mobile devices.
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'
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difficulty: advanced
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estimated_hours: 8-10
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exports:
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- tinytorch.optimizations.compression
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learning_objectives:
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- Understand sparsity and redundancy in neural networks
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- Implement magnitude-based pruning
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- Build structured and unstructured pruning
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- Measure accuracy vs model size tradeoffs
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name: Compression
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number: 17
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prerequisites:
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- Module 15: Acceleration
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- Module 16: Quantization
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skills_developed:
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- Pruning techniques
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- Sparsity management
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- Model compression
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- Edge deployment optimization
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type: optimization
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