Comments (1)
Hi,
I'm not certain that I 100% understand what to do.
I think I should vary some parameters and write down what happens. Like increasing the number of ReLu Layers, the number of nodes, learning rate, ...
It should produce an understanding of what every parameter does. Am I right?
EDIT: I implemented a study of learning rate, batch size and epochs as I thought I should do. If I need to change something or check more parameters, I will do that.
I wrote a new script and made it possible to change some parameters from outside the cls_set1 function.
from deep-groove-with-pytorch.
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from deep-groove-with-pytorch.