A Simple explanation of PyTorch and Lightning AI. By Cornellius Yudha Wijaya
Deep learning is a branch of the machine learning model based on neural networks. In the other machine model, the data processing to find the meaningful features is often done manually or relying on domain expertise; however, deep learning can mimic the human brain to discover the essential features, increasing the model performance.
There are many applications for deep learning models, including facial recognition, fraud detection, speech-to-text, text generation, and many more. Deep learning has become a standard approach in many advanced machine learning applications, and we have nothing to lose by learning about them.
To develop this deep learning model, there are various library frameworks we can rely upon rather than working from scratch. In this article, we will discuss two different libraries we can use to develop deep learning models: PyTorch and Lighting AI. Let’s get into it.
PyTorch is an open-source library framework to train deep-learning neural networks. PyTorch was developed by the Meta group in 2016 and has grown in popularity. Lighting AI is a company that provides various products to minimize the time to train the PyTorch deep learning model and simplify it. One of their open-source product is PyTorch Lighting, which is a library that offers a framework to train and deploy the PyTorch model.
