How can I use TensorFlow.js for hardware acceleration?
You can leverage hardware acceleration in TensorFlow.js by using WebGL for GPU support. This allows for faster computations.
What are the benefits of using WebGL with TensorFlow.js?
Using WebGL can significantly speed up model training and inference times, especially for complex models and large datasets.
Are there any specific models that benefit more from hardware acceleration?
Yes, models like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) tend to benefit greatly from GPU acceleration.
How do I set up TensorFlow.js to use WebGL?
You just need to include the TensorFlow.js library in your project, and it will automatically use WebGL if available on the device.
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