# Deep Learning **Domain:** Machine Learning / Artificial Intelligence **Doc Type:** Concept **Maturity:** Developed **Related:** [[Artificial Neural Networks]], [[Representation Learning]], [[Structural Isomorphism]], [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]] ## Definition Deep learning uses multilayer trainable models to learn representations and transformations from data. ## Bauhaus Architects Context The article compares modularity and layer-wise abstraction with modernist design as independent convergence rather than historical causation. ## Backlinks - [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]] - [[articles/Bauhaus Architects of AI|Bauhaus Architects of AI]] ## Simple Reminders, Quotations, and Thoughts > "I'm thinking about the difference between artificial intelligence and artificial life." > **— Esther Dyson**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Artificial Intelligence and Artificial Life Are Different by Esther Dyson|Artificial Intelligence and Artificial Life Are Different by Esther Dyson]] > "The speed of the fastest birds did not turn out to be a limit to airplanes, and artificial minds will be faster, more accurate, more alert, more aware and comprehensive than their human counterparts." > **— Joscha Bach**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Artificial Minds Will Surpass Biological Limits by Joscha Bach|Artificial Minds Will Surpass Biological Limits by Joscha Bach]] > "Will we increasingly be able to create machines that can produce input-output patterns that replicate human input-output patterns?" > **— Matthew D. Lieberman**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Simulation/Can Machines Replicate Human Behavior From the Outside by Matthew D. Lieberman|Can Machines Replicate Human Behavior From the Outside by Matthew D. Lieberman]] > "Looking ahead, I could live with a partnership with machine learning in order to make complex modern life more resource-efficient in a way that human brains cannot." > **— Laurence C. Smith**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Machine Learning Could Make Modern Life More Efficient by Laurence C. Smith|Machine Learning Could Make Modern Life More Efficient by Laurence C. Smith]] > "In fact, natural cognition is likely much more complex and detailed than our current incarnations of artificial intelligence or cognitive computing." > **— Maximilian Schich**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Natural Cognition Is More Complex Than Today’s AI by Maximilian Schich|Natural Cognition Is More Complex Than Today’s AI by Maximilian Schich]]