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Related Questions
- What are some common techniques used to prune neural networks to reduce model size?
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- What is the concept of model quantization and how does it impact model size and accuracy?
- Can you explain the idea of model compression and its applications in resource-constrained environments?
- How does transfer learning help to balance model size and accuracy in resource-constrained environments?
- What are some common techniques used to reduce the number of parameters in a neural network?
- How does model pruning combined with knowledge distillation improve the trade-off between model size and accuracy?
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