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Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

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input: several news with the same topic, maybe the same event reported by different media company. output: a brand-new news article with the same meaning. I have no idea how...

```  python train.py Traceback (most recent call last): File "train.py", line 11, in from model import Model File "/home/user/word-rnn-tensorflow/model.py", line 3, in from tensorflow.contrib import legacy_seq2seq ImportError: cannot import name...

Hello. Please help my with little problem. I want to write simple Rest API with Flask: ``` from flask import Flask import numpy as np import tensorflow as tf import...

Hi, I've tried training the default LSTM model and the RNN (with basic hyperparameters) on a scraped Friends script (which can be found [here](https://github.com/hunkim/word-rnn-tensorflow/files/3891908/input.txt.zip)) but for some reason, after 100...

When I open train.py I get a traceback error that says: Traceback (most recent call last): File "C:\Users\User\Desktop\word-rnn-tensorflow-master\train.py", line 134, in main() File "C:\Users\User\Desktop\word-rnn-tensorflow-master\train.py", line 54, in main train(args) File...

in using your Word level RNN language model, how can i get the probability of a single word?

I'm trying to use your Word level RNN to predict the best word from a set of words. let's say the set of words will be: set_of_words = {beautiful, beauty,...

I would like to see if the model improves during training or is overfitting. To this end, I would like on the one hand to add accuracy as a metric...

thanks for the great work. Using your code, after training with two of Garcia Marquez's masterpieces, _Love in the time of Cholera_ and 1_00 years of Solitude_, I was able...