Dates: Jan 2026 - Mar 2026
• Leveraged a Goodreads romance review dataset to create a Character-level Recurrent Neural Network.
• Used machine learning methods from COGS 185 in PyTorch to create the Char-RNN. All coding was in Python, and visualizations were created using Matplotlib.
• Utilized the best models for one- and five-star reviews to generate romance book reviews in the style of Goodreads.
The full report can be found in the Github repository or below.
Report:
Project link: https://github.com/ebartt/cogs185final