This repo provides an introduction into Long-Short-Term Memory deep learning models. The tutorials have the following learning objectives:
- Build a simple LSTM
- Build an LSTM with feature inputs
- Become familiar with PyTorch
- Train models using GPU
- Use cloud hosted data (via AWS S3 - streamflow-app-data bucket)
- Use and access .py scripts and functions to assist with model training, testing, and evaluation
Enjoy!