Inception (model)

Inception is a deep learning model designed for image recognition tasks. It processes images through multiple layers that analyze different levels of detail simultaneously—like examining broad shapes and fine details at once. Its key innovation is using "inception modules," which perform various types of analysis in parallel and combine the results, enabling the model to understand complex features efficiently. This approach improves accuracy while keeping the computation manageable. Inception has been instrumental in advancing computer vision, enabling machines to better interpret visual data for applications like object detection, facial recognition, and image classification.