Neural Networks
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Multinomial Event Model, Non-linear Classifiers, Neural Network, Applications of Neural Network, Intuitions about Support Vector Machine (SVM), Notation for SVM, Functional and Geometric Margins
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Professor Diamond continues her discussion of the nervous system beginning with a discussion of myelin-forming oligodendrocytes and Schwann cells, saltatory conduction from the nodes of ranvier, and the similarity of the function of microglia to monocytes. She moves on to describe the development of the neural tube by drawing a cross-section of the neural tube and depicting the changes it...more
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This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins);
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Professor Brian Wandell tells the inspirational story of Mike May, the world-record holder for blind downhill skiing. Wandell leads a multidisciplinary team of Stanford researchers who are working together to treat the many dimensions of blindness: retinal imaging, neural connections, and social psychology.
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Karl Deisseroth is pioneering bold new treatments for depression and other psychiatric diseases. By sending pulses of light into the brain, Deisseroth can control neural activity with remarkable precision. In this short talk, Deisseroth gives an thoughtful and awe-inspiring overview of his Stanford University lab's groundbreaking research in "optogenetics".
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This course is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction;
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Estrin talks about the three cycles in IT networks: 1) Enterprise productivity cycle 2) Connecting people 3) Connecting devices.
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Dominic Orr, CEO of Aruba Networks, describes his experience applying the HP way to a startup environment. Orr speaks about his focus on giving people freedom and trust which in turn sparks the passion and confidence that drives innovation.
