Hands-On One-shot Learning with Python

Applications

Often, a problem can be solved using various approaches; for example, face detection on our phones. Image classification is an approach that requires a lot of data points, whereas if we use the Siamese network architecture of one-shot learning, we can achieve greater accuracy with only a few data points. The Siamese network architecture has become one of the most popular one-shot learning architectures adopted by the software industry. It is used for various other applications, such as face detection, handwriting detection, and spam detection. But there is still a lot of scope for improvement, and various researchers are working toward this. Working on a similar theme, in the next section, we will learn about the matching networks ...