Abstract
Deep learning has replaced conventional machine learning due to its superior performance when exposed
to an enormous amount of data. Researchers in many disciplines are drawn to deep learning, including
physics, medicine, humanities, etc. Since we expect that readers would like to apply this popular
technique in their projects on laser technologies, this paper introduces the fundamentals of deep learning
with some mathematics. We also provide the first step in coding a neural network in PyTorch Lightning
over Python, which comes with ready-to-go code on Google Colab, allowing novices to immediately get
started.
