query: Is there any paper about vanishing-gradients of LSTM?
positive_passages.docid: 42381
positive_passages.text: How does LSTM prevent the vanishing gradient problem?
negative_passages.docid: 109792
negative_passages.text: Divergence as transpose of gradient?
negative_passages.docid: 13412
negative_passages.text: Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
negative_passages.docid: 38690
negative_passages.text: Why are non zero-centered activation functions a problem in backpropagation?
negative_passages.docid: 119947
negative_passages.text: Can a non-zero vector have zero image under every linear functional?
negative_passages.docid: 129237
negative_passages.text: LSTM : shape of tensors?
negative_passages.docid: 90439
negative_passages.text: When does (Riemann) regularization work?
negative_passages.docid: 130348
negative_passages.text: How to explain dropout regularization in simple terms?
negative_passages.docid: 127871
negative_passages.text: TemporalDiscretization in MethodOfLines
negative_passages.docid: 60956
negative_passages.text: Difference of Activation Functions in Neural Networks in general
negative_passages.docid: 29487
negative_passages.text: What is the time complexity of conjugate gradient method?
negative_passages.docid: 61480
negative_passages.text: Why in Variational Auto Encoder (Gaussian variational family) we model $\log\sigma^2$ and not $\sigma^2$ (or $\sigma$) itself?
negative_passages.docid: 79038
negative_passages.text: When will L1 regularization work better than L2 and vice versa?
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: 63655
negative_passages.text: Neural network with skip-layer connections
negative_passages.docid: 23038
negative_passages.text: Expected value notation in GAN loss
negative_passages.docid: 36499
negative_passages.text: Can a neural network learn a functional, and its functional derivative?