An In-Depth Guide to Contrastive Learning: Techniques, Models, and Applications
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Traditionally, machine learning (ML) (opens new window) can be classified broadly into two types: supervised and unsupervised learning (opens new window). In supervised learning, we have some data with labels and these labels are used to train the model. For example, using the (labelled) images of different objects to train an image classifier.
Traditionally, machine learning (ML) (opens new window) can be classified broadly into two types: supervised and unsupervised learning (opens new window). In supervised learning, we have some data with labels and these labels are used to train the model. For example, using the (labelled) images of different objects to train an image classifier.