Welcome to PARROT’s documentation!¶
- Getting Started with PARROT
- parrot-train
- parrot-optimize
- parrot-predict
- parrot-cvsplit
- Basic Examples:
- Advanced Examples:
- Evaluating a Network with Cross-Validation:
- Machine Learning Resources:
- First things first, what is ‘Machine Learning’?
- When can I use machine learning for my research?
- What is a recurrent neural network (RNN)?
- What are the hyperparameters of the networks used by PARROT? What should I set them as?
- What is ‘encoding’?
- What are over-fitting and under-fitting?
- How should I set up my dataset?
- How should I tackle a huge dataset?
- How can I validate that my trained network is performing well?
- What are the different performance metrics for evaluating ML networks?
- How does PARROT choose the optimal hyperparameters?
- Module Documentation