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add a section on hyperparameter tuning since classical models were used with default hyperparameters
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"Table 10-1. Typical regression MLP architecture" in the "Hands on ..." provides a good summary of typical settings for MLP
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Hi,
I am trying to follow the instructions in the post: https://www.learnopencv.com/keras-tutorial-fine-tuning-using-pre-trained-models/
I have downloaded the code and I tried all commands in iPytho…
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Continuing from xmr-stak [#1924](https://github.com/fireice-uk/xmr-stak/issues/1924).
So S824 Power8, 24 cores machine, 22 cores available for Ubuntu, SMT=2.
With a thread config like this
``` …
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Thanks for the amazing work! I wonder if I can combine this with Mechanic (https://github.com/optimizedlearning/mechanic) to avoid tuning both the learning rate and the schedule. My naive attempt to c…
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def load_tuning_state(self, path,):
if http in path:
state = torch.hub.load_state_dict_from_url(path, map_location='cpu')
else:
state = torch.load(pat…
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Every few days, my radio drops the COM connection with the server - the audio keeps working, but the tuning and data stops. It's always fixed by just restarting the server app, but I have to do this m…
39703 updated
11 hours ago
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Control node tuning steps:
1. position control altitude / thrust
2. velocity measurements require fix (from natnet) and then closed loop control
3. position control lateral
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![image](https://user-images.githubusercontent.com/26625030/39863455-fb51b8c0-5446-11e8-8b53-33468762a424.png)
When I compile master or [stable v3.3](https://github.com/mavlink/qgroundcontrol/tree/St…