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?
2018年3月15日 · GRU and LSTM are two popular RNN variants out of many possible similar architectures motivated by similar theoretical ideas of having a "pass through" channel where …
Generalization of RNN/LSTM/GRU... model
2019年6月20日 · 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
Is my model over-fitting (LSTM, GRU) Ask Question Asked 6 years, 5 months ago. Modified 5 years, 7 months ago.
GRU/LSTM models - Train/Test split - Data Science Stack Exchange
2019年1月15日 · 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
2020年1月2日 · This is tru for any Recurren architecture (simple recurrent, LSTM, GRU). If you increase the number of units of a GRU layer and you see that there's no improvement in the …
Number of parameters in an LSTM model
2016年3月9日 · LSTM cell structure. LSTM equations. Ingoring non-linearities. If the input x_t is of size n×1, and there are d memory cells, then the size of each of W∗ and U∗ is d×n, and d×d …
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 …
machine learning - What is LSTM, BiLSTM and when to use them?
2017年12月28日 · RNN architectures like LSTM and BiLSTM are used in occasions where the learning problem is sequential, e.g. you have a video and you want to know what is that all …
TensorFlow / Keras: What is stateful = True in LSTM layers?
This flag is used to have truncated back-propagation through time: the gradient is propagated through the hidden states of the LSTM across the time dimension in the batch and then, in the …