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@@ -1,3 +1,28 @@
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+/*
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+ * MIT License
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+ *
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+ * Copyright (c) 2019 Alexey Edelev <semlanik@gmail.com>
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+ *
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+ * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork
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+ *
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+ * Permission is hereby granted, free of charge, to any person obtaining a copy of this
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+ * software and associated documentation files (the "Software"), to deal in the Software
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+ * without restriction, including without limitation the rights to use, copy, modify,
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+ * merge, publish, distribute, sublicense, and/or sell copies of the Software, and
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+ * to permit persons to whom the Software is furnished to do so, subject to the following
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+ * conditions:
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+ *
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+ * The above copyright notice and this permission notice shall be included in all copies
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+ * or substantial portions of the Software.
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+ *
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+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
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+ * INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
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+ * PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
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+ * FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
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+ * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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+ * DEALINGS IN THE SOFTWARE.
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+ */
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+
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package neuralnetworkbase
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import (
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@@ -7,6 +32,10 @@ import (
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// NeuralNetwork is simple neural network implementation
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//
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+// Resources:
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+// http://neuralnetworksanddeeplearning.com
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+// https://www.youtube.com/watch?v=fNk_zzaMoSs
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+//
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// Matrix: A
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// Description: A is set of calculated neuron activations after sigmoid correction
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// Format: 0 n N
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