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Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded

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Just as the title. I want to save a trained weight matrix for a direct use in future.

原因:以免父類別指標解構子類別物件時,遺漏應該釋放的記憶體。

enhancement

``` LKYs-MacBook-Air:LKYDeepNN lky$ ./LKYDeepNN Completed BackPropagation Layer InitializeWeights() Completed BackPropagation Layer InitializeWeights() Completed BackPropagation Layer InitializeWeights() Completed BackPropagation Layer InitializeWeights() Activation is SeLU. Activation is Softmax. LossFunction is CrossEntropy. ======...

bug

這樣才能把訓練後的成果重複利用,可以參考 @ONNX 或 [libDNN](https://github.com/botonchou/libdnn/wiki/XML-model) @WiiWilson

help wanted