Hands-On One-shot Learning with Python

Algorithm of meta networks

To begin learning about meta networks, we first need to define the following terms:

• Support set: Sampled input data points (x,y) from the training set.
• Test set: Sampled data points (x,y) from the training set.
• Embedding function (): As part of a meta-learner, the embedding function is very similar to Siamese networks. It is trained to predict whether two inputs are of the same class.
• Base-learner model (): A base-learner model attempts to complete the actual learning task (for example, a classification model).
• : Fast ...