Learning with Memristive Neural Networks: Neuromorphic Computing - Joshua Yang at INC 2019

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Joshua Yang, University of Massachusetts Amherst, finds motivation in natural intelligence and brain computation for artificial neural networks to improve upon the challenges of learning with classical computers. Yang reviews computing with memristive devices, including supervised learning, reinforcement learning, and unsupervised learning.

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  • July 2, 2019

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