StackOverflow Questions for Tag: gru

Zahra Kokhazad

Reputation: 9

None Gradients for a model with 2 outputs

tensorflowdeep-learningaudio-processinggradienttapegru

Score: 0

Answers: 0

robin_poelmans

Reputation: 11

Why are the outputs from PyTorch and TensorFlow GRU layers not equivalent?

tensorflowpytorchgru

Score: 0

Answers: 1

ashwani kumar dwivedi

Reputation: 13

can anyone explain h_n output of gru layer?

pythonpytorchgru

Score: 1

Answers: 1

srswat

Reputation: 165

Implementation of Pass2Edit to model string edit behaviour

pythonpytorchrecurrent-neural-networkgru

Score: 0

Answers: 1

Logan Hancock

Reputation: 1

LSTM and GRU Models Not Properly Predicting Future Dates for stic=

modellstmpredictiongru

Score: 0

Answers: 0

Master_Sniffer

Reputation: 40

Pytorch GRU Model Isn't learning on time series with target value

pythonpytorchneural-networktime-seriesgru

Score: 0

Answers: 0

章之禹

Reputation: 1

torch.jit.script_method error when implementing a custom GRU

pytorchrecurrent-neural-networkjitgru

Score: 0

Answers: 0

Mouna Ahmen

Reputation: 37

The right way to implement checkpoints in Pytorch with GRU model for time series forcasting

pythonpytorchtime-seriesgru

Score: 0

Answers: 0

Chames Eddinne

Reputation: 1

Sequence to Sequence LSTM attention model inference performace

lstmattention-modelseq2seqsequence-to-sequencegru

Score: 0

Answers: 0

enfield

Reputation: 121

Both RNN regression models (LSTM and GRU) predict the same value during evaluation but predicts normally during training

regressionlstmrecurrent-neural-networkpredictiongru

Score: 0

Answers: 0

Matthew Christopher

Reputation: 3

Binary Classification on Deep Learning Models always returns one label only

tensorflowdeep-learningclassificationlstmgru

Score: 0

Answers: 0

R S

Reputation: 1

cross entropy loss is over 100 it's crazy

lstmcross-entropygru

Score: 0

Answers: 0

Yaksh Patel

Reputation: 1

non-broadcastable output operand with shape (168,1) doesn't match the broadcast shape (168,6)

pythonnumpymachine-learningkerasgru

Score: 0

Answers: 0

jupyter

Reputation: 349

Why the output and hidden state of last layer returned by GRU are not the same

pytorchgru

Score: 2

Answers: 2

mhsnk

Reputation: 222

Why Keras Input behaves differently than a regular tensor

kerastf.kerasgru

Score: 0

Answers: 1

Justin Tomko

Reputation: 7

Initializing Hidden State for GRU RNN using feed forward neural network

pythontensorflowrecurrent-neural-networkgru

Score: 0

Answers: 0

Pavol Krajkovič

Reputation: 540

Lack of Variability in Predictions from Multivariate LSTM Model

tensorflowlstmforecastingmultivariate-time-seriesgru

Score: -2

Answers: 1

Charles Yan

Reputation: 85

How to use GridSearchCV to do hyperparameter tuning with a custom estimator and custom cross validation?

pythonscikit-learnkeyword-argumentgridsearchcvgru

Score: 0

Answers: 1

Tahseen Abbas Hyder

Reputation: 11

SeLU Activation Function Implementation In GRUCell PyTorch C++

c++pytorchrecurrent-neural-networkactivation-functiongru

Score: 1

Answers: 0

Duncan Leung

Reputation: 152

keras seq2seq with GRU instead of LSTM

pythontensorflowkeraslstmgru

Score: 1

Answers: 0

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StackOverflow Questions for Tag: gru

None Gradients for a model with 2 outputs

Why are the outputs from PyTorch and TensorFlow GRU layers not equivalent?

can anyone explain h_n output of gru layer?

Implementation of Pass2Edit to model string edit behaviour

LSTM and GRU Models Not Properly Predicting Future Dates for stic=

Pytorch GRU Model Isn&#39;t learning on time series with target value

torch.jit.script_method error when implementing a custom GRU

The right way to implement checkpoints in Pytorch with GRU model for time series forcasting

Sequence to Sequence LSTM attention model inference performace

Both RNN regression models (LSTM and GRU) predict the same value during evaluation but predicts normally during training

Binary Classification on Deep Learning Models always returns one label only

cross entropy loss is over 100 it&#39;s crazy

non-broadcastable output operand with shape (168,1) doesn&#39;t match the broadcast shape (168,6)

Why the output and hidden state of last layer returned by GRU are not the same

Why Keras Input behaves differently than a regular tensor

Initializing Hidden State for GRU RNN using feed forward neural network

Lack of Variability in Predictions from Multivariate LSTM Model

How to use GridSearchCV to do hyperparameter tuning with a custom estimator and custom cross validation?

SeLU Activation Function Implementation In GRUCell PyTorch C++

keras seq2seq with GRU instead of LSTM

Pytorch GRU Model Isn't learning on time series with target value

cross entropy loss is over 100 it's crazy

non-broadcastable output operand with shape (168,1) doesn't match the broadcast shape (168,6)