What is Inception?

Inception, in the context of machine learning, refers to a specific type of convolutional neural network (CNN) architecture developed by Google. The core idea behind Inception is to use multiple filter sizes within the same convolutional layer. This allows the network to capture both fine-grained details and broader contextual information in the input image or data. Inception networks are commonly used for image recognition, object detection, and other computer vision tasks, known for their efficiency in terms of computational cost and parameter usage while achieving high accuracy.