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@@ -4,3 +4,5 @@ The front end interface allows the user to create various network scenarios with
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The back end code includes network layers, activation functions, a matrix library, and json utilities.
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See JavaFX-Convolutional-Network.docx for more information.
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Keywords: JavaFx Application, Convolutional Network, Image Classification, Softmax Output Layer, Back Propagation, Gradient Descent, Partial Derivatives, Matrix Flattening, Matrix Unfolding, Concurrent Task, Performance Histogram, Confusion Matrix

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