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README.md

Neural Computation and Self-Organization

Introduction

Neurons

Neurons

Neurophysiology

Computational Models of Neurons

Linear Threshold Units

Dynamics of Networks

Associative Memories

Learning

Bayesian Decision Theory

Linear Threshold Classification

Perceptrons

Linear Least Squares

Logistic Regression

Neural Networks

MLP Background

Introduction to MLPs

Object-Oriented MLPs

MLPs and Posteriors

Simple Convolutional Networks

Convolutional Networks for Thresholding

Multilayer Convolutional Network

Other Pattern Recognition

PCA

k-Means

Expectation Maximization

Incremental k-Means

Self-Organizing Maps

Bayesian Parameter Estimation

Misc Topics

MNIST Deskewing

Outline of Review

Game Theory

Sequence Modeling

Sequence Learning