query: How to prevent the keras convolutional neural network model to over-fit?
positive_passages.docid: 10993
positive_passages.text: What should I do when my neural network doesn't generalize well?
negative_passages.docid: 6914
negative_passages.text: Why are neural networks becoming deeper, but not wider?
negative_passages.docid: 150758
negative_passages.text: How does cross-validation overcome the overfitting problem?
negative_passages.docid: 79882
negative_passages.text: Explanation of Spikes in training loss vs. iterations with Adam Optimizer
negative_passages.docid: 145878
negative_passages.text: Overfitting on the loss graph, but not the accuracy graph
negative_passages.docid: 82881
negative_passages.text: How to do data augmentation and train-validate split?
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: 80741
negative_passages.text: Constrain a Neural Network to be monotonic?
negative_passages.docid: 103779
negative_passages.text: Overfitting a logistic regression model
negative_passages.docid: 57861
negative_passages.text: Should the bias value be added after convolution operation in CNNs?
negative_passages.docid: 41356
negative_passages.text: Reason for square images in deep learning
negative_passages.docid: 42381
negative_passages.text: How does LSTM prevent the vanishing gradient problem?
negative_passages.docid: 48916
negative_passages.text: Determing two Nonlinear model fits with 95% confidence bands from one data set
negative_passages.docid: 10535
negative_passages.text: Keras Sequential model returns loss 'nan'
negative_passages.docid: 142623
negative_passages.text: scaling for SVM destroys my results
negative_passages.docid: 14442
negative_passages.text: What's the difference between fit and fit_transform in scikit-learn models?