What are some tips to improve TensorFlow.js performance?
To enhance TensorFlow.js performance, consider using WebGL for computations, optimizing your model size, and reducing the number of operations.
How can I reduce the model size?
You can reduce the model size by pruning unnecessary weights, using quantization techniques, or simplifying the architecture.
What is model quantization?
Model quantization is the process of converting a model's weights from floating-point to lower precision, which reduces size and speeds up inference.
Are there any tools to help with optimization?
Yes, TensorFlow.js provides tools like the TensorFlow Model Optimization Toolkit and the tfjs-converter for optimizing models.
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