Contrastive Learning
Learn representations by pulling similar samples together and pushing dissimilar ones apart
5 min readConcept
Explore machine learning concepts related to contrastive-learning. Clear explanations and practical insights.
Learn representations by pulling similar samples together and pushing dissimilar ones apart
Master contrastive loss functions including InfoNCE, NT-Xent, and Triplet Loss for representation learning and self-supervised training.
Exploring the challenge of aligning visual and textual representations in multimodal AI systems.