I want to implement machine learning on hardware platform s which can learning by itself Is there any way to by which machine learning on hardware works seamlessly?
First, you may want to be clear on hardware - there is wide range of hardware with various capabilities. For example raspberry by is considered a powerful hardware. EspEye and Arduio Nano 33 BLE considered low end platforms.
It also depends which ML solution you are deploying. I think the most widely deployed method is neural network. Generally, the work flow is to train the model on a PC or on Cloud using lots of data. It is done on PC due to large amount of resources needed to run back prop. The inference is much lighter which can be done on the edge devices.
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