In this article, we explore network architectures and training settings for character-based text generation. Compare RNNs, GRUs, and LSTMS, with different depths, layer widths, and dropout.

This report was created to optimize my network for text generation and also bring more understanding to RNN's in general and how to optimize them. Github repository: https://github.com/borisd13/char-RNN

This report was created to optimize my network for text generation and also bring more understanding to RNN's in general and how to optimize them. Github repository: https://github.com/borisd13/char-RNN