What is Deep Learning?

This tutorial's code is available on Github and its full implementation as well on Google Colab. The use of deep learning in real-life applications and research has become crucial during the last decade, for example, with the advancements in image recognition, transfer learning, computer vision, recommendation systems, language understanding, healthcare, machine intelligence, and so on [2] [9]. For example, if you have ever used Facebook to post photos, you may have witnessed how their tech can recognize people in photos. These can be your friends or friends of friends, and in most cases, even if the photo is not clear and blurred, their image recognition software has a high accuracy rate on recognizing the people in them and auto-tagging them [1]. This tutorial will provide a straightforward and basic path to deep learning while explaining how it works, its applications, and its implementations.