Hands-On One-shot Learning with Python

Prerequisites of one-shot learning

If we look into further discussion about how we can learn necessary information from a limited amount of data, we will realize that the human brain already has neurons trained to extract important information. For example, if a child has been taught that a spherical object is a ball, their brain also processes information about the ball's size and texture—also known as filters of the object. So, for any form of one-shot learning, we can say we need at least one of the following things:

• Previously trained filters and a pre-determined architecture
• A correct assumption of data distribution
• A definite form of taxonomy for information stored or collected

In certain cases, we observe that we can only have a ...