Most of the successful use cases in the deep learning and machine learning space fall under supervised learning. Most of the examples we cover in this book will also be part of this. Some of the common examples of supervised learning are:

• Classification problems: Classifying dogs and cats.
• Regression problems: Predicting stock prices, cricket match scores, and so on.
• Image segmentation: Doing a pixel-level classification. For a self-driving car, it is important to identify what each pixel belongs to from the photo taken by its camera. The pixel could belong to a car, pedestrian, tree, bus, and so on.
• Speech recognition: OK Google, Alexa, and Siri are good examples of speech recognition.
• Language translation: Translating speech from one language to another language.