首页>
外国专利>
Prototypical network algorithms for few-shot learning
Prototypical network algorithms for few-shot learning
展开▼
机译:少量学习的原型网络算法
展开▼
页面导航
摘要
著录项
相似文献
摘要
Techniques for training an embedding using a limited training set are described. In some examples, the embedding is trained by generating a plurality of vectors from a random sample of the limited set of training data classes using a layer of the particular machine learning classification model, randomly selecting samples from the plurality of vectors into a set of samples, computing at least one distance for each sampled class from a center parameter for the class using the set of samples, generating a discrete probability distribution over the classes for a query point based on distances to a center parameter for each of the classes in the embedding space, calculating a loss value for the modified prototypical network, the calculation of the loss value being for a fixed geometry of the embedding space and including a measure of the difference between distributions, and back propagating.
展开▼