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Course in Neural Computation and Self-Organization

teaching-ncso 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# Neural Computation and Self-Organization

[Introduction](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/00-introduction.ipynb)

## Neurons

[Neurons](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/01-neurons.ipynb)

[Neurophysiology](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/02-neurophysiology.ipynb)

[Computational Models of Neurons](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/03-computational-models-of-neurons.ipynb)

[Linear Threshold Units](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/04-linear-threshold-units.ipynb)

[Dynamics of Networks](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/06-dynamics-of-networks.ipynb)

[Associative Memories](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/08-associative-memories.ipynb)

## Learning

[Bayesian Decision Theory](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/10-bayesian-decision-theory.ipynb)

[Linear Threshold Classification](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/12-linear-threshold-classification.ipynb)

[Perceptrons](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/13-perceptrons.ipynb)

[Linear Least Squares](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/15-linear-lsq.ipynb)

[Logistic Regression](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/16-logistic-regression-grad.ipynb)

## Neural Networks

[MLP Background](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/19-mlp-background.ipynb)

[Introduction to MLPs](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/20-intro-mlp.ipynb)

[Object-Oriented MLPs](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/22-mlp-oop.ipynb)

[MLPs and Posteriors](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/25-mlp-posterior.ipynb)

[Simple Convolutional Networks](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/27-simple-convnnet.ipynb)

[Convolutional Networks for Thresholding](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/28-simple-convnet-threshold.ipynb)

[Multilayer Convolutional Network](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/29-conv-multilayer2.ipynb)

## Other Pattern Recognition

[PCA](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/38-pca.ipynb)

[k-Means](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/40-kmeans-2d.ipynb)

[Expectation Maximization](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/41-em-example.ipynb)

[Incremental k-Means](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/42-kmeans-and-incremental.ipynb)

[Self-Organizing Maps](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/46-som-full.ipynb)

[Bayesian Parameter Estimation](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/90-bayesian-parameter-estimation.ipynb)

## Misc Topics

[MNIST Deskewing](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/91-mnist-deskew.ipynb)

[Outline of Review](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/92-outline-review.ipynb)

[Game Theory](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/95-game-theory.ipynb)

[Sequence Modeling](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/97-sequence-modeling.ipynb)

[Sequence Learning](http://nbviewer.ipython.org/urls/bitbucket.org/tmbdev/teaching-ncso/raw/tip/98-sequence-learning-tasks.ipynb)

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