Deep learning
Deep learning
!Representing images on multiple layers of abstraction in deep learning
Deep learning
Early forms of neural networks were inspired by information processing and distributed communication nodes in biological systems, particularly the human brain. However, current neural networks do not intend to model the brain function of organisms, and are generally seen as low-quality models for that purpose.
Overview
Most modern deep learning models are based on multi-layered neural networks) such as convolutional neural networks and transformers), although they can also include propositional formulas or latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep Boltzmann machines.
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