query: Why have deep neural networks risen in popularity?
positive_passages.docid: 6914
positive_passages.text: Why are neural networks becoming deeper, but not wider?
negative_passages.docid: 52786
negative_passages.text: Can we do activations before convolution and maxpooling
negative_passages.docid: 145417
negative_passages.text: Why it is popular to use stochastic gradient descent in neural networks rather than the BFGS algorithm?
negative_passages.docid: 109044
negative_passages.text: Does it makes sense to perturb images on-the-run while training CNNs?
negative_passages.docid: 98111
negative_passages.text: Sigmoid vs Relu function in Convnets
negative_passages.docid: 68495
negative_passages.text: Convolution perfomed by an analog circuit
negative_passages.docid: 100545
negative_passages.text: Number of nodes in hidden layers of neural network
negative_passages.docid: 84469
negative_passages.text: Is there a thumb-rule for designing neural-networks?
negative_passages.docid: 16209
negative_passages.text: Importance of optimizing the correct loss function
negative_passages.docid: 142667
negative_passages.text: Understanding how many biases are there in a neural network?
negative_passages.docid: 25406
negative_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: 79991
negative_passages.text: Why second order SGD convergence methods are unpopular for deep learning?
negative_passages.docid: 38573
negative_passages.text: Back-propagation through max pooling layers
negative_passages.docid: 109966
negative_passages.text: How does the Adam method of stochastic gradient descent work?
negative_passages.docid: 7027
negative_passages.text: What is the purpose of a neural network activation function?
negative_passages.docid: 95485
negative_passages.text: Does ReLU layer work well for a shallow network?
negative_passages.docid: 455
negative_passages.text: Recurrent vs Recursive Neural Networks: Which is better for NLP?