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Experiments in sequence to sequence learning (seq2seq) with recurrent neural networks (RNN) for automated document conversion

Primary LanguageJupyter NotebookMIT LicenseMIT

About

Experiments in sequence to sequence learning (seq2seq) with recurrent neural networks (RNN) for automated document conversion, in pytorch, using jupyter notebooks.

Setup

Using Anaconda makes things easy: use the Python 3.x command line installer.

After downloading and installing, execute these commands inside the (base) environment (the last one is optional, but useful if using AWS):

conda upgrade conda
conda update --all
conda install pytorch torchvision -c pytorch
conda install -c conda-forge awscli