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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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Adjoint relationship in Neural ODEs
The Chen et. al paper Neural ODE (https://arxiv.org/pdf/1806.07366.pdf) uses the adjoint method to take derivatives of solutions generated by an ODE solver with respect to neural network parameters θ. …
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Per-pixel classification using deep learning models
I want to train a model to classify image pixels in which neighbouring pixels are not considered, only channels (bands) for each pixel. I'm thinking about defining a CNN model which stacks several lay …