query: RNN's with Gaussian Output
positive_passages.docid: 6048
positive_passages.text: What should I do when my neural network doesn't learn?
negative_passages.docid: 58845
negative_passages.text: Neural networks output probability estimates?
negative_passages.docid: 49002
negative_passages.text: Setting random seed for neural network
negative_passages.docid: 63655
negative_passages.text: Neural network with skip-layer connections
negative_passages.docid: 93969
negative_passages.text: Is it possible to learn a neural networks for a constant target?
negative_passages.docid: 145813
negative_passages.text: Rigorous Logic of LSTM
negative_passages.docid: 40058
negative_passages.text: Early Detection of peaks with Neural Network
negative_passages.docid: 20770
negative_passages.text: Student t as mixture of gaussian
negative_passages.docid: 73225
negative_passages.text: local minima vs saddle points in deep learning
negative_passages.docid: 44904
negative_passages.text: Neural Networks input data normalization and centering
negative_passages.docid: 129237
negative_passages.text: LSTM : shape of tensors?
negative_passages.docid: 139196
negative_passages.text: Is there a way to 'compress' an lm() object for later prediction?
negative_passages.docid: 74904
negative_passages.text: Random initialization/order in neural network — bias or variance?
negative_passages.docid: 31297
negative_passages.text: Why do we use ReLU in neural networks and how do we use it?
negative_passages.docid: 133566
negative_passages.text: Deep Neural Network weight initialization
negative_passages.docid: 4763
negative_passages.text: When generating samples using variational autoencoder, we decode samples from $N(0,1)$ instead of $\mu + \sigma N(0,1)$
negative_passages.docid: 36499
negative_passages.text: Can a neural network learn a functional, and its functional derivative?