Closed sun9700 closed 6 years ago
This is a great addition! Here's what I'm thinking:
It's still useful to see how to add use it to wrap a single layer, so it might be worth keeping the RNN version, and explaining that the mobilenet example is essentially a (X)RNN example, where (X) is any model that honors the right intput:output mapping.
So I'd like to have two files: addMNIST_layer.py
and addMNIST_model.py
and explain the use case in the readme. I think that maximizes the utility of this example.
If there are two files, I'll probably do a bit of refactoring such that the data processing functions are properly shared between them.
Also if you decide to edit this PR, can you remove the .idea config xml file?
We try to replace a simple convolution layer with a complete pretrained model (MobileNet model) and get a lower RMS.