Udacity is a private online education platform founded in 2011 with the mission of providing affordable, accessible, and flexible learning opportunities. It specializes in industry-relevant courses and programs, often referred to as "Nanodegrees," designed in collaboration with leading companies such as Google, Amazon, and IBM. Udacity focuses on technology, programming, data science, artificial intelligence, cloud computing, and other in-demand fields. Its innovative approach emphasizes practical, project-based learning, making it a popular choice for upskilling and reskilling professionals worldwide.

This course introduces Convolutional Neural Networks, the most widely used type of neural networks specialized in image processing. You will learn the main characteristics of CNNs that make them so useful for image processing, their inner workings, and how to build them from scratch to complete image classification tasks. You will learn what are the most successful CNN architectures, and what are their main characteristics. You will apply these architectures to custom datasets using transfer learning. You will also learn about autoencoders, a very important architecture at the basis of many modern CNNs, and how to use them for anomaly detection as well as image denoising. Finally, you will learn how to use CNNs for object detection and semantic segmentation.