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I have a question about the Dropout Rate: What is its use? I didn't see something like this in the original implementation (at least I think I didn't see such parameter).
When I change it from 0.5 to 0.1 and then to 0.01 the predictions become more accurate.
I'm not sure what value I should choose for it.
It's in the graph and I found this while freeze the model, check this out
Currently, I got the inference model from this repo and if you see the link there, they put droupout_rate as a tf placeholder, which means you need to provide the value necessarily.
Hi
Thanks for this Simple and Clean implementation.
I have a question about the Dropout Rate: What is its use? I didn't see something like this in the original implementation (at least I think I didn't see such parameter).
When I change it from 0.5 to 0.1 and then to 0.01 the predictions become more accurate.
I'm not sure what value I should choose for it.
Here's my Code:
Thanks
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