How can I optimize my TensorFlow.js model for better performance?
To optimize your TensorFlow.js model, consider techniques like model pruning, quantization, and using WebGL for faster computations.
What is model pruning and how does it help?
Model pruning involves removing weights from your model that contribute little to its predictions, reducing size and improving speed.
Can you explain quantization in simple terms?
Quantization reduces the precision of the numbers in your model, which can decrease memory usage and increase inference speed.
Are there any specific tools for these optimizations?
Yes, TensorFlow.js provides tools like the TensorFlow Model Optimization Toolkit to help with pruning and quantization.
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