Related Works • Learning Goals • Engineering Goals • UX Goals • License
Learning to Generate Reviews and Discovering Sentiment is a great paper by OpenAI, which builds upon the principles used in Representation Learning (Bengio, 2013) in an exciting new way. These two papers inspired me to do this project.
- Generative Recurrent Neural Networks
- Adversarial Classification
- Chose between PyTorch and TensorFlow
- Build an unsupervised generative network to create realistic tweets given a prompt
- Train a sister network to classify tweets using the feature vectors of the generative network
- Use Steven and a third sibling network to create an adversarial network pair by using both the generated data and real tweets
- Build a robust and user friendly way to collect human data on immeasurable features (ie. truth vs. lies, malarkey meter, funniness)
MIT
Atif Mahmud · GitHub @Atif-Mahmud · Twitter @Atif_Mahmud101