302 -

: They are critical for tasks such as anomaly detection in surveillance, medical image analysis, and forgery detection.

: APIs to load and unload models into memory on demand, preventing the need for cluster restarts. : They are critical for tasks such as

: Combine these basics into complex, semantically meaningful objects or patterns. medical image analysis

: Once loaded, these models can be used for real-time inference tasks like text embedding or image classification. : They are critical for tasks such as

: Extract basic concepts like edges, contours, and simple textures.

: While initially prioritizing Hugging Face and NLP models, the roadmap includes broader support for various deep learning frameworks. What are Deep Features?

This feature was designed to allow users to integrate custom deep learning models directly into OpenSearch . It addresses several core functionalities: