query: what are the drawbacks of implementing `dropout` in neural network training?
positive_passages.docid: 157299
positive_passages.text: Dropout makes performance worse
negative_passages.docid: 109044
negative_passages.text: Does it makes sense to perturb images on-the-run while training CNNs?
negative_passages.docid: 123017
negative_passages.text: How does a back-propagation training algorithm work?
negative_passages.docid: 88139
negative_passages.text: Why binary crossentropy can be used as the loss function in autoencoders?
negative_passages.docid: 145791
negative_passages.text: What is batch size in neural network?
negative_passages.docid: 13041
negative_passages.text: Using neuralnet with caret train and adjusting the parameters
negative_passages.docid: 38690
negative_passages.text: Why are non zero-centered activation functions a problem in backpropagation?
negative_passages.docid: 71086
negative_passages.text: Can a GAN be used for data augmentation?
negative_passages.docid: 62842
negative_passages.text: Most common method for deciding when to stop training a neural net on a batch
negative_passages.docid: 6995
negative_passages.text: Neural Network: What if there are multiple right answers for a given set of inputs?
negative_passages.docid: 91913
negative_passages.text: Neural Network: For Binary Classification use 1 or 2 output neurons?
negative_passages.docid: 7027
negative_passages.text: What is the purpose of a neural network activation function?
negative_passages.docid: 14605
negative_passages.text: Why use gradient descent with neural networks?
negative_passages.docid: 110124
negative_passages.text: When does decision tree perform better than the neural network?
negative_passages.docid: 49002
negative_passages.text: Setting random seed for neural network
negative_passages.docid: 42381
negative_passages.text: How does LSTM prevent the vanishing gradient problem?
negative_passages.docid: 151342
negative_passages.text: Is there an optimal loss function for dealing with imbalanced classes?