Deep Learning refers to iterative machine learning algorithms in which each layer of non-linear processing uses output from the previous layer to form a hierarchy of concepts. Deep Learning algorithms have been useful for speech recognition, computer vision, social network filtering. generating mathematical proofs, playing sophisticated games, modeling complex natural systems. (Note: not to be confused with Deep vs. Surface Learning.)
Learn More... Transformer (Google, 2010s) – a form of Deep Learning modelled on brain networks that can distinguish the relative importance and the strengths of connection among different parts of its input
Please cite this article as:
Davis, B., & Francis, K. (2024). “Transformer” in Discourses on Learning in Education. https://learningdiscourses.com.
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