When to use GRU over LSTM? - Data Science Stack Exchange
The key difference between a GRU and an LSTM is that a GRU has two gates (reset and update gates) whereas an LSTM has three gates (namely input, output and forget gates). Why do we …
neural network - How can a GRU perform as well as an LSTM?
Mar 15, 2018 · In simple words, the GRU unit does not have to use a memory unit to control the flow of information like the LSTM unit. It can directly makes use of the all hidden states without …
Generalization of RNN/LSTM/GRU... model
Jun 20, 2019 · Given a time-series prediction with a Recurrent Neural Network (doesn't matter if LSTM/GRU/...), a forecast might look like this: to_predict (orange) was fed to the model, …
Is my model over-fitting (LSTM, GRU) - Data Science Stack Exchange
I have small corpus max 150 text utterances, which is again distributed among 5 categories. To test I started with basic deep learning model, where I used word2vec embedding, added 1D …
GRU/LSTM models - Train/Test split - Data Science Stack Exchange
Jan 15, 2019 · LSTM is often used for Sequence Prediction problems, for example, when the dataset is a time series. In that kind of dataset, you don't split the dataset the normal (a.k.a …
lstm - Impact of varying sequence length in ensemble GRU model
Jan 2, 2020 · The model is running well but I don't see any difference in the results in keeping same unit size or different. can anyone explain the impact of varying unit size for ensemble …
Number of parameters in an LSTM model - Data Science Stack …
Mar 9, 2016 · How many parameters does a single stacked LSTM have? The number of parameters imposes a lower bound on the number of training examples required and also …
Using the Python Keras multi_gpu_model with LSTM / GRU to …
I'm having an issue with python keras LSTM / GRU layers with multi_gpu_model for machine learning. When I use a single GPU, the predictions work correctly matching the sinusoidal data …
TensorFlow / Keras: What is stateful = True in LSTM layers?
Could you elaborate on this argument? I found the brief explanation from the docs unsatisfying: stateful: Boolean (default False). If True, the last state for each sample at index i in a batch wi...
what is the complexity of a bidirectional recurrent neural network?
Oct 9, 2020 · In particular, what is the complexity of a bi-directional recurrent neural network taking into account the variants of LSTM and GRU as well for training? I am hoping if I can get …