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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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Can I tell my model is overfittng?
I am developing fully convolutional model for semantic segmentation task and I tried to use spatial dropout layers to prevent overfitting of my model.
My model has interesting learning curves and I am …
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Using FCNN for multi-class semantic segmentation trained on single class labeled image data
I am working on project where main task is semantic segmentation of land cover and another objects in Sentinel 2 multi-spectral images. Currently I posses dataset of 50 000 single-labeled images trimm …