One-shot learning: Revision history

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20 March 2023

  • curprev 11:4511:45, 20 March 2023‎ Walle talk contribs‎ 3,272 bytes +3,272‎ Created page with "{{see also|Machine learning terms}} ==One-shot Learning in Machine Learning== One-shot learning is a type of machine learning approach that aims to build robust models capable of learning from a limited amount of data, typically with only one or very few examples per class. This is in contrast to traditional supervised learning techniques, which require large amounts of labeled data for training. ===Background=== Traditional machine learning and deep learning algorithms..."
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