neural networks
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Just how near are we to using our brains routinely to control machines for work or leisure purposes? Will we be able to improve the performance of our existing brains? Have advances in neuroscience, neural network modelling and the physical sciences led us to the point where it could soon be possible to create artificial, nanoscale brains and where might such technology lead us?
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Covalent Networks, Metallic, and Ionic Crystals: Some of the strongest molecular structures.
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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 undergoes, forming the ventricles of the brain, whi...more
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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
