Top "Lstm" questions

PyTorch: manually setting weight parameters with numpy array for GRU / LSTM

I'm trying to fill up GRU/LSTM with manually defined parameters in pytorch. I have numpy arrays for parameters with …

python lstm pytorch rnn

Keras : How should I prepare input data for RNN?

I'm having trouble with preparing input data for RNN on Keras. Currently, my training data dimension is: (6752, 600, 13) 6752: number of training …

tensorflow keras deep-learning lstm recurrent-neural-network

How can I improve the classification accuracy of LSTM,GRU recurrent neural networks

Binary Classification Problem in Tensorflow: I have gone through the online tutorials and trying to apply it on a real-time …

tensorflow deep-learning lstm recurrent-neural-network gated-recurrent-unit

Use LSTM tutorial code to predict next word in a sentence?

I've been trying to understand the sample code with https://www.tensorflow.org/tutorials/recurrent which you can find at …

python tensorflow lstm word2vec word-embedding

LSTM RNN Backpropagation

Could someone give a clear explanation of backpropagation for LSTM RNNs? This is the type structure I am working with. …

machine-learning neural-network lstm recurrent-neural-network backpropagation

Keras - Text Classification - LSTM - How to input text?

Im trying to understand how to use LSTM to classify a certain dataset that i have. I researched and found …

theano keras lstm lasagne

Keras LSTM: a time-series multi-step multi-features forecasting - poor results

I have a time series dataset containing data from a whole year (date is the index). The data was measured …

python tensorflow keras time-series lstm

Padding time-series subsequences for LSTM-RNN training

I have a dataset of time series that I use as input to an LSTM-RNN for action anticipation. The time …

machine-learning deep-learning padding lstm recurrent-neural-network

Using Dropout with Keras and LSTM/GRU cell

In Keras you can specify a dropout layer like this: model.add(Dropout(0.5)) But with a GRU cell you can …

keras lstm dropout