query: Does the BatchNorm scale the distribution of whole layer (all neurons) or each neuron?
positive_passages.docid: 149876
positive_passages.text: Dimensions of Scale (Gamma) and Offset (Beta) in Batch Norm
negative_passages.docid: 139822
negative_passages.text: Does the universal approximation theorem for neural networks hold for any activation function?
negative_passages.docid: 38690
negative_passages.text: Why are non zero-centered activation functions a problem in backpropagation?
negative_passages.docid: 112504
negative_passages.text: How to set the number of neurons and layers in neural networks
negative_passages.docid: 36499
negative_passages.text: Can a neural network learn a functional, and its functional derivative?
negative_passages.docid: 6600
negative_passages.text: Is epoch optimization in CV with constant mini-batch size even possible?
negative_passages.docid: 111208
negative_passages.text: What is the definition of layer in neural network?
negative_passages.docid: 60956
negative_passages.text: Difference of Activation Functions in Neural Networks in general
negative_passages.docid: 100545
negative_passages.text: Number of nodes in hidden layers of neural network
negative_passages.docid: 19651
negative_passages.text: What are the advantages of ReLU over sigmoid function in deep neural networks?
negative_passages.docid: 142609
negative_passages.text: No regularisation term for bias unit in neural network
negative_passages.docid: 145653
negative_passages.text: Balanced sampling for network training?
negative_passages.docid: 142078
negative_passages.text: ReLu vs a linear activation function
negative_passages.docid: 10993
negative_passages.text: What should I do when my neural network doesn't generalize well?
negative_passages.docid: 31073
negative_passages.text: "Hidden layer sizes" vs "Hidden layers sizes"
negative_passages.docid: 136852
negative_passages.text: Convolution operator in CNN and how it differs from feed forward NN operation?
negative_passages.docid: 91230
negative_passages.text: Danger of setting all initial weights to zero in Backpropagation