Hi guys, today I will tell you about an amazing library launched a few months ago, TensorFlow JS aka tfjs
With the TensorflowJS data function, we can load, transform, create, and access local data from webcam and microphone easily, and this is amazing! we don't need to know the best ways to apply an ETL process, the tensor flow js library does it for us. Also, we can do operations directly in the tfjs, this is really nice because we just need one library to make an entire solution.
or the processing phase we have many backends available to use with TensorFlowJS, the two backends more common and recommended to use is WebGL and TensorFlow NodeJS, the tfjs will manage and choose the best backend to use if you have the two backends available, this means we can create more performative applications. We can see below that WebGL is faster than wasm and CPU backends, for that reason they recommend and built the TensorFlowJS to run better in this backend. See below the benchmark between the three backends.
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