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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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I implemented these two methods in a deep learning project where I am using theano. I understand the mathematical difference between these two methods, and my conceptual understanding is that nestero …
asked Nov 26 '15 by thc
1
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A loss function must be differentiable to perform gradient descent. It seems like you're trying to measure some sort of 1-accuracy (e.g., the proportion of incorrectly labeled samples). This doesn't …
answered Apr 1 '17 by thc