query: Dropout in Deep Neural Networks
positive_passages.docid: 143614
positive_passages.text: Dropout: scaling the activation versus inverting the dropout
negative_passages.docid: 44904
negative_passages.text: Neural Networks input data normalization and centering
negative_passages.docid: 38573
negative_passages.text: Back-propagation through max pooling layers
negative_passages.docid: 133323
negative_passages.text: Intuitive explanation of Lovasz Softmax loss for Image Segmentation problems
negative_passages.docid: 40058
negative_passages.text: Early Detection of peaks with Neural Network
negative_passages.docid: 8439
negative_passages.text: How to choose the number of hidden layers and nodes in a feedforward neural network?
negative_passages.docid: 138385
negative_passages.text: Why does the first forward pass in a neural-network (NN) classification model computes to zero for all classes before final activation?
negative_passages.docid: 112504
negative_passages.text: How to set the number of neurons and layers in neural networks
negative_passages.docid: 38075
negative_passages.text: What is the trade-off between batch size and number of iterations to train a neural network?
negative_passages.docid: 71086
negative_passages.text: Can a GAN be used for data augmentation?
negative_passages.docid: 70893
negative_passages.text: How to Identify Overfitting in Convolutional Neural network?
negative_passages.docid: 15759
negative_passages.text: Adding Regressors to Convolutional Neural Network
negative_passages.docid: 103939
negative_passages.text: Why doesn't regularization solve Deep Neural Nets hunger for data?
negative_passages.docid: 79991
negative_passages.text: Why second order SGD convergence methods are unpopular for deep learning?
negative_passages.docid: 95485
negative_passages.text: Does ReLU layer work well for a shallow network?
negative_passages.docid: 19651
negative_passages.text: What are the advantages of ReLU over sigmoid function in deep neural networks?
negative_passages.docid: 10855
negative_passages.text: How to use early stopping properly for training deep neural network?