Top "Lstm" questions

Long short-term memory.

Predicting a multiple forward time step of a time series using LSTM

I want to predict certain values that are weekly predictable (low SNR). I need to predict the whole time series …

time-series keras lstm prediction forward
CuDNNLSTM: UnknownError: Fail to find the dnn implementation

I have run the model with LSTM as the first layer successfully. But out of curiosity, I replace LSTM with …

lstm cudnn
PyTorch - How to deactivate dropout in evaluation mode

This is the model I defined it is a simple lstm with 2 fully connect layers. import copy import torch import …

python deep-learning lstm pytorch dropout
How to train a RNN with LSTM cells for time series prediction

I'm currently trying to build a simple model for predicting time series. The goal would be to train the model …

time-series tensorflow prediction lstm
LSTM module for Caffe

Does anyone know if there exists a nice LSTM module for Caffe? I found one from a github account by …

neural-network deep-learning caffe lstm recurrent-neural-network
Initializing LSTM hidden state Tensorflow/Keras

Can someone explain how can I initialize hidden state of LSTM in tensorflow? I am trying to build LSTM recurrent …

tensorflow neural-network deep-learning keras lstm
Keras lstm with masking layer for variable-length inputs

I know this is a subject with a lot of questions but I couldn't find any solution to my problem. …

python keras lstm masking
Regularization for LSTM in tensorflow

Tensorflow offers a nice LSTM wrapper. rnn_cell.BasicLSTM(num_units, forget_bias=1.0, input_size=None, state_is_tuple=False, …

neural-network tensorflow lstm recurrent-neural-network
ResourceExhaustedError :OOM when allocating tensor with shape []

def RNN(X, weights, biases): X = tf.reshape(X, [-1, n_inputs]) X_in = tf.matmul(X, weights['in']) + biases[…

python tensorflow deep-learning lstm word-sense-disambiguation
Implementing Bi-directional LSTM-CRF Network

I need to implement a bidirectional LSTM network with a CRF layer at the end. Specifically the model presented in …

python crf lstm