How can I improve the performance of my TensorFlow.js model?
To improve performance, consider optimizing your model architecture, using quantization, and reducing input size.
What are some specific techniques for model quantization?
You can use post-training quantization or quantization-aware training to reduce model size and improve inference speed.
Are there any tools to help with performance profiling?
Yes, you can use TensorFlow.js's built-in profiling tools to analyze performance bottlenecks in your model.
How does the choice of hardware affect performance?
Hardware can significantly impact performance; using a GPU or specialized hardware like TPUs can accelerate computations.
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