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What is One-Shot Learning?

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One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks where getting large amounts of labelled data is challenging or expensive. One-Shot learning has applications in facial recognition, biometrics, and natural language processing.

Other Definitions

Feature Extraction

Feature Extraction refers to the process of identifying and selecting the most relevant features from raw data to enhance AI model performance. By extracting…

Ontologies

Ontologies are a representation of knowledge that defines concepts and the relationships among them. Ontologies enable machines to structure and reason information in a…

Backpropagation

Backpropagation is a technique used in training Artificial Neural Networks. It involves propagating error information backward through the network, allowing adjustments to be made…

Transfer Learning

Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…
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