In setting up PTZ control for an Axis encoder, it's very easy to overlook a very important step in the configuration process. After properly connecting the communication wires to the encoder, the next recommended step in the setup is:
I'm pretty confident about this one. The number of hidden nodes and the learning rate are the two hyperparameters I would select to tune in the Tune Model Hyperparameters module. These are the key hyperparameters that can significantly influence the model's performance in a binary classification task.
Creating a multi-regional Spanner instance with the right configuration seems like the way to go. I just need to make sure I understand the differences between the options.
Lenna
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