query: How to obtain the optimum model using Keras? Deep Learning
positive_passages.docid: 8439
positive_passages.text: How to choose the number of hidden layers and nodes in a feedforward neural network?
negative_passages.docid: 69676
negative_passages.text: Keras CNN with low/constant accuracies
negative_passages.docid: 19651
negative_passages.text: What are the advantages of ReLU over sigmoid function in deep neural networks?
negative_passages.docid: 36499
negative_passages.text: Can a neural network learn a functional, and its functional derivative?
negative_passages.docid: 68765
negative_passages.text: How do I make my neural network better at predicting sine waves?
negative_passages.docid: 107366
negative_passages.text: How to set class weights for imbalanced classes in Keras?
negative_passages.docid: 142667
negative_passages.text: Understanding how many biases are there in a neural network?
negative_passages.docid: 11067
negative_passages.text: How to choose a predictive model after k-fold cross-validation?
negative_passages.docid: 31297
negative_passages.text: Why do we use ReLU in neural networks and how do we use it?
negative_passages.docid: 82239
negative_passages.text: Accuracy in neural network for regression
negative_passages.docid: 73225
negative_passages.text: local minima vs saddle points in deep learning
negative_passages.docid: 42381
negative_passages.text: How does LSTM prevent the vanishing gradient problem?
negative_passages.docid: 129280
negative_passages.text: Neural networks: why do we randomize the training set?
negative_passages.docid: 44904
negative_passages.text: Neural Networks input data normalization and centering
negative_passages.docid: 86032
negative_passages.text: How to determine the confidence of a neural network prediction?
negative_passages.docid: 26355
negative_passages.text: Guideline to select the hyperparameters in Deep Learning
negative_passages.docid: 86077
negative_passages.text: A few clarifications regarding convolutional neural networks