Contrastive Hebbian learning
Contrastive Hebbian learning is a type of artificial intelligence algorithm that is based on the principle of Hebbian learning. It is a type of unsupervised learning algorithm that is used to train artificial neural networks. The algorithm uses a contrastive approach to learn the underlying representations of the input data. This is done by comparing the representations of similar and dissimilar input patterns.
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