What is TensorFlow.js WebGL backend?
TensorFlow.js WebGL backend allows you to run machine learning models in the browser using WebGL for accelerated performance.
How does it improve performance compared to the CPU backend?
The WebGL backend leverages the GPU for parallel processing, which can significantly speed up computations compared to the CPU.
Can I use it for training models in the browser?
Yes, you can train models directly in the browser using the WebGL backend, making it easier to develop and test ML applications.
What are some limitations of using the WebGL backend?
Some limitations include compatibility issues with older browsers and potential memory constraints on the GPU.
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