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A Recurrent Neural Network learns Job Postings

A few months ago Andrej Karpathy wrote an excellent introductory article on recurrent neural networks, The Unreasonable Effectiveness of Recurrent Neural Networks. With this article, he released some code (and larger version) that allows someone to train character-level language models. While RNNs have been around for a long time (Jeff Elman from UCSD Cognitive Science did pioneering work in this field), the current trend is implementing with deep learning techniques organizationally different networks that attain higher performance (Long Short-term memory networks). Andrej demonstrated the model’s ability to learn the writing styles of Paul Graham and Shakespeare. He also demonstrated that this model could learn the structure of documents, allowing the model to learn and then produce Wikipedia articles, LaTeX documents, and Linux Source code.

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