GoogleNet

GoogleNet, also known as Inception, is a deep learning model designed for image recognition. It processes images through multiple layers that analyze different features simultaneously, such as edges, textures, and shapes. Its key innovation is the "Inception module," which combines these analyses at various scales within a single layer, allowing the network to capture complex details efficiently. This architecture enables accurate image classification while being computationally less demanding than earlier models, making it effective for tasks like recognizing objects in photos or videos. Overall, GoogleNet balances depth and efficiency to enhance image understanding.