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Hi,
I have two questions:
1. is it possible to have additional features besides the permutational invariant?
2. is it possible to use LSTM-Layers since those require themselves 3D inputs?
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I really love this implementation, and I see that LSTM is still in the TODO. Have you made any progress on this in the last two months or should I just do it myself?
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In your .sh file, nothing with .bin file?
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Hi, I am new to lstm. I find that lstm layer will output T * num_output for T sequence, However, I want to build a many to one model, what should I do?
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### Description
Use example TrainLSTMWithMnist() in Rnn.Test.cs to train and save model. Then load exported model and predict TestData of Mnist.
Do this loading and prediction twice cause Tensorfl…
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Hello, I have LSTM as the feature extractor of financial data the problem. I also want to build an LSTM feature extractor on Sb3 for financial time series data, using mlppolicy strategy network. I wan…
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Issue #526 expected to also include support for the [OWP LSTM module](https://github.com/NOAA-OWP/lstm), but because of the complexity, that will need to be handled separately. The primary reasons fo…
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I compiled **tesserocr 2.5.2** with **Tesseract 5.0.1** on **Windows**. When executing `tesserocr\tests\test_api.py` I get the following exception for [test_LSTM_choices(...)](https://github.com/sirfz…
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After making a few changes in the utils.py file, as well as changing from python 2 to Python 3, I am getting an error in the rnn.py file when i try to run the train.py file. The error states- "TypeErr…
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would you mind priovide the complete files contianed in this project?I have met a question:**Using TensorFlow backend.
WARNING:tensorflow:From /home/eric/PycharmProjects/lip-reading-cnn-lstm/venv/lib…