query: Understanding the weights of a neural network
positive_passages.docid: 149395
positive_passages.text: Neural network - meaning of weights
negative_passages.docid: 6629
negative_passages.text: Find Neural Network Inputs Given Outputs
negative_passages.docid: 58402
negative_passages.text: Importance of the bias node in neural networks
negative_passages.docid: 41356
negative_passages.text: Reason for square images in deep learning
negative_passages.docid: 49535
negative_passages.text: Deep learning : How do I know which variables are important?
negative_passages.docid: 44904
negative_passages.text: Neural Networks input data normalization and centering
negative_passages.docid: 139822
negative_passages.text: Does the universal approximation theorem for neural networks hold for any activation function?
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: 6914
negative_passages.text: Why are neural networks becoming deeper, but not wider?
negative_passages.docid: 136197
negative_passages.text: Normalizing the final weights vector in the upper bound on the Perceptron's convergence
negative_passages.docid: 134597
negative_passages.text: How do substution-permutation networks work?
negative_passages.docid: 126373
negative_passages.text: Can we use MLE to estimate Neural Network weights?
negative_passages.docid: 119072
negative_passages.text: Neural network in MATLAB
negative_passages.docid: 92956
negative_passages.text: Is it possible to train a neural network without backpropagation?
negative_passages.docid: 142609
negative_passages.text: No regularisation term for bias unit in neural network
negative_passages.docid: 86077
negative_passages.text: A few clarifications regarding convolutional neural networks
negative_passages.docid: 84469
negative_passages.text: Is there a thumb-rule for designing neural-networks?