What is advanced quantization in TensorFlow.js?
Advanced quantization in TensorFlow.js refers to techniques that reduce the model size and improve inference speed by converting weights and activations to lower precision formats.
How does it improve performance?
It reduces the amount of memory required and speeds up computations, making models faster and more efficient, especially on mobile devices.
Can you give me an example of how to implement it?
Sure! You can use the tf.quantization.quantize
function to convert your model weights. Here's a simple code snippet to get you started.
What are the trade-offs of using quantization?
The main trade-off is between model accuracy and performance. While quantization can speed up inference, it may lead to a slight decrease in accuracy.
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