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| # -*- coding: utf-8 -*- | |
| """ | |
| This tutorial introduces logistic regression using Theano and stochastic | |
| gradient descent. | |
| Logistic regression is a probabilistic, linear classifier. It is parametrized | |
| by a weight matrix :math:`W` and a bias vector :math:`b`. Classification is | |
| done by projecting data points onto a set of hyperplanes, the distance to | |
| which is used to determine a class membership probability. |
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