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Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

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Is it possible to export this model into TFlite? Would i have to convert the model into a TFLite flatbuffer

First and foremost thanks to everybody involved in this. I really appreciate the work you are putting into this. Previously I was using Karpathy's char-rnn but I couldn't get torch...

This PR is the same as https://github.com/sherjilozair/char-rnn-tensorflow/pull/28, but merge conflicts are fixed. I also got rid of the assignment to `self.probs` in the constructor (because it's overwritten) and moved the...

I created a route localhost:5050/predict to run the model with the given statement. ``` { "statement": "You helped the customer in troubleshooting the Cable issue and you asked " }...

I changed network size from 2 layers to 4 layers and I changed batch size to 1, now after about 30 epochs I see pelpxerity starting to increase, which is,...

I used the program all the day and it worked great but with my last experiment I got the following error message: Traceback (most recent call last): File "sample.py", line...

i could not get how to test the model i have trained using train.py please mention command. i am using ubuntu 16.04

Full description about this question: https://stackoverflow.com/questions/48970453/how-to-transform-checkpoint-to-savemodel-used-in-tensorflow-serving

Where I have to change to support UTF-8. so that I can train it on other languages

I am trying to visualize the model using Netron. However, every .meta checkpoint files are the same size (2.1 MB), no matter how big is the input data I used....