Network Depth and deep learning

An artificial neural network is a computing model consisting of logical elements (artificial “neurons”) based on a simplified biological neural network model.

Neural networks can model complex transformations of an image with the goal of extracting relevant features and using them to solve a particular problem.

The number of network layers, often called Network Depth, describes the network complexity and its capability to create interconnections and relationships between inputs and outputs. This parameter is then referred to the ability to solve more complex problems.

Deep learning is a subset of machine learning methods based on artificial neural networks. The adjective "deep" refers to the use of multiple layers in the network.