query: Non - convergence of loss function in Neural Networks with a step activation function
positive_passages.docid: 153357
positive_passages.text: Why is step function not used in activation functions in machine learning?
negative_passages.docid: 50274
negative_passages.text: The neural network is not learning properly
negative_passages.docid: 60956
negative_passages.text: Difference of Activation Functions in Neural Networks in general
negative_passages.docid: 16209
negative_passages.text: Importance of optimizing the correct loss function
negative_passages.docid: 139822
negative_passages.text: Does the universal approximation theorem for neural networks hold for any activation function?
negative_passages.docid: 84469
negative_passages.text: Is there a thumb-rule for designing neural-networks?
negative_passages.docid: 82269
negative_passages.text: Backpropagation algorithm and error in hidden layer
negative_passages.docid: 32831
negative_passages.text: Optimal step size in gradient descent
negative_passages.docid: 157923
negative_passages.text: RMSProp Squared Gradients
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: 94250
negative_passages.text: Comprehensive list of activation functions in neural networks with pros/cons
negative_passages.docid: 119072
negative_passages.text: Neural network in MATLAB
negative_passages.docid: 74904
negative_passages.text: Random initialization/order in neural network — bias or variance?
negative_passages.docid: 77118
negative_passages.text: What did my neural network just learn? What features does it care about and why?
negative_passages.docid: 103939
negative_passages.text: Why doesn't regularization solve Deep Neural Nets hunger for data?
negative_passages.docid: 136197
negative_passages.text: Normalizing the final weights vector in the upper bound on the Perceptron's convergence
negative_passages.docid: 155450
negative_passages.text: Neural Network: MLP for regression with 3 continuous features, 1 categorical