Practical Uses of Deep Learning

As an example of using deep learning, we have mainly discussed image classification, such as handwritten digit recognition, which is called "object recognition." However, we can apply deep learning to many problems other than object recognition. Deep learning demonstrates excellent performance for many problems, such as image recognition, sound (speech recognition), and natural language processing. This section will introduce what deep learning can do (its applications) in the computer vision field.

Object Detection

Object detection identifies the positions of objects in images and classifies them. Object detection is more difficult than object recognition. While object recognition targets the entire image, object detection must identify the positions of classes in an image, and multiple objects may exist.

Some CNN-based techniques have been proposed for object detection. They demonstrate excellent performance, which indicates that...