I am very new to AI/ML but have lot of interest in these. I am trying to understand how this gadget works.

Wearable device features

So far I have understood that a NN model of the cattle is generated by offline classification of the tagged data which is received from the wearable sensor. Consequently some ML algorithms are used to generate a model of a cattle.

That model is then embedded in the programmable wearable device. The device then sends the real-time tagged (classified, parameterized) data to the server.

Now I am looking for a sample NN-model of a cattle. I wonder how does a NN-model of a cattle would look like?


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