query: Deep networks vs shallow networks: why do we need depth?
positive_passages.docid: 25406
positive_passages.text: What is the difference between a neural network and a deep neural network, and why do the deep ones work better?
negative_passages.docid: 59635
negative_passages.text: Stochastic gradient descent Vs Mini-batch size 1
negative_passages.docid: 130956
negative_passages.text: Should we average weight decay loss in neural network?
negative_passages.docid: 28095
negative_passages.text: Why does a bigger sensor lead to a shallower depth of field?
negative_passages.docid: 31297
negative_passages.text: Why do we use ReLU in neural networks and how do we use it?
negative_passages.docid: 133550
negative_passages.text: Why are nested weights bad for performance? Alternatives?
negative_passages.docid: 79824
negative_passages.text: Varied Activation Functions in Neural Networks
negative_passages.docid: 105631
negative_passages.text: Tensors in neural network literature: what's the simplest definition out there?
negative_passages.docid: 38573
negative_passages.text: Back-propagation through max pooling layers
negative_passages.docid: 50063
negative_passages.text: Well-posed vs Well-conditioned
negative_passages.docid: 94732
negative_passages.text: Why do neural networks need so many training examples to perform?
negative_passages.docid: 142078
negative_passages.text: ReLu vs a linear activation function
negative_passages.docid: 106128
negative_passages.text: Why does convolution work?
negative_passages.docid: 103939
negative_passages.text: Why doesn't regularization solve Deep Neural Nets hunger for data?
negative_passages.docid: 86077
negative_passages.text: A few clarifications regarding convolutional neural networks
negative_passages.docid: 92956
negative_passages.text: Is it possible to train a neural network without backpropagation?
negative_passages.docid: 153601
negative_passages.text: difference between neural network and deep learning