Linear Separable Patterns

Overview


Machine Learning encompasses a set of techniques that enable the computer learn a set of patterns from data.

The simplest pattern is a dataset that has points belonging to different categories where the points can be separated by a line (i.e. a linear separable pattern).

Demos and Tutorials


Or Problem
Shows how to solve the OR Problem using a perceptron
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Or Problem with Tensor Flow
Uses tensor-flow to recognize an OR pattern.
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Iris Perceptron
Uses the Iris Dataset to demonstrate linear classification problems
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