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2 parents 855ea33 + 5ed986f commit b2f0989Copy full SHA for b2f0989
README.md
@@ -23,7 +23,7 @@ power of MATLAB and matrices.
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The goal for this framework is given randomly generated training and test data
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that fall into two classes that conform to certain shapes or specifications,
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and given the configuration of a neural network, the goal is to perform either
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-regression or binary classification of this data and interactively show the
+regression or classification of this data and interactively show the
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results to the user, specifically a classification or regression map of the
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data, as well as numerical performance measures such as the training and test
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loss and their values plotted on a performance curve over each iteration.
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