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Unify Modalities: Cross-Modal Retrieval

Курс от Coursera

Средний≈ 2.1 чАнглийский

О курсе

Transform how AI systems understand and connect different data modalities. This course empowers machine learning professionals to build cutting-edge cross-modal retrieval systems that bridge the gap between text and images. You'll master the technical implementation of approximate nearest-neighbor search algorithms and design sophisticated attention mechanisms that fuse visual and textual information. Through hands-on work with production-scale tools like FAISS and real datasets like Flickr30K, you'll develop the expertise to create intelligent systems that understand content across modalities—enabling breakthrough applications in search, recommendation, and content understanding that mirror how humans naturally process diverse information types.

Навыки, которые вы освоите

Embeddings Scalability Artificial Intelligence and Machine Learning (AI/ML)Vector Databases Image Analysis Model Training Applied Machine Learning Vision Transformer (ViT)

Программа курса

2 модулей · 12 учебных материалов

01Module 1: ANN Cross-Modal Search - Foundation6 материалов

Architecting Cross-Modal Intelligence: A Strategic DialogueDIALOGUE Fundamentals of Cross-Modal Retrieval SystemsВидео FAISS Architecture and Index Types for Production SystemsЧтение Implementing FAISS Indexing for Cross-Modal SearchЧтение

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