This looks awesome!
It looks like it (like keras-js) is only for inference (running already-trained models) and not for training. Is this correct?
Are the operations or memory required for training very different?
It looks like it (like keras-js) is only for inference (running already-trained models) and not for training. Is this correct?
Are the operations or memory required for training very different?
TensorFire is useful in situations where you want to perform inference, but you don't want to ship user-supplied data to your servers, either because you would run out of bandwidth, you would run out of compute power, or your users want to keep their data private.