The Neural Basis of Vision Through Convolutional Neural Networks by Mike Tarr





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Published on Sep 16, 2019

This is a guest lecture by Dr. Mike Tarr, Professor of Cognitive and Brain Science, Psychology, and Machine Learning, setting the groundwork for understanding parallels between deep learning and neurobiological models of cognition.

Carnegie Mellon University
Course: 11-785, Intro to Deep Learning
Offering: Spring 2019

For more information, please visit: http://deeplearning.cs.cmu.edu/

Dr. Mike Tarr's research focuses on how the primate brain turns 2D retinal images into the perception of objects and scenes. I am interested in:
• Face, Object, and Scene Perception
• Perceptual Expertise and Learning
• Visual Categorization and Semantics
• Computational and Artificial Vision Systems
• Novel Imaging Methods, Including Real-time, Adaptive fMRI


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