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Intelligent picking of defaults for model structure #192

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ndiamant opened this issue Mar 25, 2020 · 0 comments

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ndiamant commented Mar 25, 2020

What
Option to guess depth, number of channels etc. based on input and output shapes (like EfficientNet)

Why
Makes first attempt at any task better, makes the code more useful for newcomers.

How
Not sure. Probably first attempt would be an EfficientNet implementation with u_connect for segmentation and autoencoding.

Acceptance Criteria

Option to pick smart hyperparameters
The smart option performs well on a variety of tasks: Maybe HRR prediction, age regression from brain MRI, C-MRI segmentation, ECG rhythm classification

ndiamant added the enhancement label

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