What are some effective tools for model simplification?
There are several tools available for model simplification, including pruning techniques, quantization, and distillation methods.
Can you explain what model pruning is?
Model pruning involves removing weights or neurons from a neural network to reduce its size while maintaining performance.
What is quantization and how does it help?
Quantization reduces the precision of the numbers used in a model, which can significantly decrease the model size and improve inference speed.
Are there any specific libraries or frameworks for these techniques?
Yes, libraries like TensorFlow Model Optimization Toolkit and PyTorch provide built-in support for pruning, quantization, and distillation.
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