Wincent Balin

Tested this in the up-to-date Colab environment with tensorflow 2.5.0, which gave the error message ``` ModuleNotFoundError: No module named 'tensorflow.contrib' ``` for the line ```python from tensorflow.contrib import rnn...

These examples show, how to implement LSTM-based char-RNN with recent tensorflow versions: * https://github.com/keras-team/keras-io/blob/master/guides/working_with_rnns.py * https://keras.io/examples/generative/lstm_character_level_text_generation/ * [Colab Notebook from the previous link](https://colab.research.google.com/github/keras-team/keras-io/blob/master/examples/generative/ipynb/lstm_character_level_text_generation.ipynb)

> > > Here is a [Colab Notebook](https://drive.google.com/file/d/1WkTEDaaYzP5z3S3lQB2ADoM1cYq7uQlJ/view?usp=sharing) with instructions on how to train it easily directly inside your Google Drive. This Colab Notebook points to the non-existent repository https://github.com/ml5/training-lstm.

As I do not have much time to solve this, would you like to contribute a solution?

I confirm the crash as described above too. Also, this issue is a duplicate of the issue #40.

я купив 12 генераторів -> я купив дванадцять генераторів я купив 12-й генератор -> я купив дванадцятий генератор

Hello @Shreeshrii, I ran the `tesstrain.sh` with the same options under Ubuntu Bionic (in a Docker container) and got the same results, as well as the [attached coredump](https://github.com/tesseract-ocr/tesseract/files/2238362/core.gz). The version...

`file corpus-12pt.txt` recognizes UTF-8 encoding. Which software do you use to look at the text? If you choose the right encoding, this image should appear: 

The issue #765 seems to be (roughly) related to this one.

Dear @Shreeshrii , thank you very much for your help! The training worked beautifully after rewrapping the corpus (I wrote a short script in Python 3, as it works beautifully...