PhasedLSTM-Keras
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fferroni
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
Hi! Really loved your implementation, worked like a charm. This is not really an issue, but a question. If I want to give asynchronous sequences to the Phased LSTM layer,...
Hi, has someone made an update to that implementation to make it compatible with tensorflow 2 ? I cannot really afford to downgrade my version for other parts of my...
The below error appeared in https://github.com/abr/neurips2019/blob/master/experiments/psMNIST-phased-lstm.ipynb [This has been reported as a keras issue with a suggested workaround.](https://github.com/keras-team/keras/issues/13540#issuecomment-554213632) that may be applied in [PhasedLSTM-Keras](https://github.com/fferroni/PhasedLSTM-Keras/issues). ``` --------------------------------------------------------------------------- TypeError Traceback (most recent...
First - the implementation works good, but I have a lack of understanding concerning the asynchronous input. If I have an event train of position X,Y at ts (I ignore...
Hi, I found out that in your implementation you mentioned for "time related variables, simply add +1 to t for now..." I wonder if there is a way of handling...
Given that [A Theoretically Grounded Application of Dropout in Recurrent Neural Networks](http://arxiv.org/abs/1512.05287) was metioned in the code I expected that this implementation would allow the use of dropout during inference....
Hello, When I used PhasedLSTM (PLSTM) to perform the regression (to find the correlation between an input sequence and an output sequence), I got "nan" in the weight , also...
Hi there, I have added a small extension to your implementation, to enable the timegate to have a trainable True/False as the authors do in the paper. Switching to `trainable=False`...
I rand the `random_example.py` with the latest Keras `2.2.0` and hit the following error `while_loop() got an unexpected keyword argument maximum_iterations`. Someone from the tensorflow repository suggested using Keras 2.1.5,...
