Summary

Time series modeling is one of the oldest and most ubiquitous applications of machine learning in industry and academia alike. In this chapter, we saw how PyTorch Lightning facilitates time series modeling using Deep Learning algorithms such as RNN and LSTM. This also provides data scientists with various tools to define RNN and LSTM configurations, with capabilities for easily monitoring learning and loss rates. We learned how we can quickly build complex Deep Learning models for time series forecasting using PyTorch Lightning.

We will continue our journey with PyTorch Lightning in the next chapter with one of the most fascinating and newest algorithms in machine learning – Generative Adversarial Networks (GANs). It can generate realistic faces of humans and objects that do not exist, and they look so real that no one can say for certain that they are artificial entities. Using PyTorch Lightning, you will see that it is much easier to carry out Generative Modeling...