query: When would a 3-layer Neural Network perform better than a 2-layer with the same number of parameters?
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: 129280
negative_passages.text: Neural networks: why do we randomize the training set?
negative_passages.docid: 38573
negative_passages.text: Back-propagation through max pooling layers
negative_passages.docid: 79038
negative_passages.text: When will L1 regularization work better than L2 and vice versa?
negative_passages.docid: 112504
negative_passages.text: How to set the number of neurons and layers in neural networks
negative_passages.docid: 100545
negative_passages.text: Number of nodes in hidden layers of neural network
negative_passages.docid: 86077
negative_passages.text: A few clarifications regarding convolutional neural networks
negative_passages.docid: 79991
negative_passages.text: Why second order SGD convergence methods are unpopular for deep learning?
negative_passages.docid: 58515
negative_passages.text: dropout: forward prop VS back prop in machine learning Neural Network
negative_passages.docid: 34513
negative_passages.text: Identifiability of neural network models
negative_passages.docid: 56397
negative_passages.text: Why do smaller weights result in simpler models in regularization?
negative_passages.docid: 123715
negative_passages.text: Why is it important to include a bias correction term for the Adam optimizer for Deep Learning?
negative_passages.docid: 59635
negative_passages.text: Stochastic gradient descent Vs Mini-batch size 1
negative_passages.docid: 7429
negative_passages.text: Why do neural network researchers care about epochs?
negative_passages.docid: 10993
negative_passages.text: What should I do when my neural network doesn't generalize well?
negative_passages.docid: 455
negative_passages.text: Recurrent vs Recursive Neural Networks: Which is better for NLP?
negative_passages.docid: 75450
negative_passages.text: How does rectilinear activation function solve the vanishing gradient problem in neural networks?