nibtehaz / ramannet

RamanNet: A generalized neural network architecture for Raman Spectrum Analysis

Hi there 👋, my No. vistor!

About Me

• I'm currently a CS PhD Student at Purdue University.
• I received my BSc (EEE) and MSc (CSE) degree from Bangladesh University of Engineering and Technology.
• My interests include Computer Vision, Biomedical Image and Signal Processing, Bioinformatics
• Feel free to contact me: [email protected]

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ramannet's Issues

Tensorflow, tensorflow-addons, and keras versions

Hello, can you list the version numbers of tensorflow, tensorflow-addons, and keras used for this project? Thanks.

One metric, two outputs in .compile()

I am trying to adapt your model but I get an error because only one metric is provided.

ValueError: For a model with multiple outputs, when providing the `metrics` argument as a list, it should have as many entries as the model has outputs. Received:
metrics=[<CategoricalAccuracy name=categorical_accuracy>]
of length 1 whereas the model has 2 outputs.

This doesnt work:
mdl.compile(optimizer='adam', loss=losses, loss_weights=lossWeights, metrics=[CategoricalAccuracy()])
This works:
mdl.compile(optimizer='adam', loss=losses, loss_weights=lossWeights, metrics=[CategoricalAccuracy(), CategoricalAccuracy()])
Can you explain or do you have any idea why this worked for you?