How can I optimize my TensorFlow.js model for better performance?
To optimize your TensorFlow.js model, you can try techniques like model pruning, quantization, and using the WebGL backend.
What is model pruning and how does it help?
Model pruning involves removing weights from your model that have little impact on the output, which reduces the model size and speeds up inference.
Can you explain quantization?
Quantization reduces the precision of the numbers used in your model, which can significantly decrease the model size and improve performance on devices with limited resources.
Are there any tools to help with these optimizations?
Yes, TensorFlow.js provides tools like the TensorFlow Model Optimization Toolkit that can assist with pruning and quantization.
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