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CNNdaima-tuxiangshibie
- 深度学习中的CNN方法,层数由原先的五层增加到七层,使用最新的RELU激活函数代替原先的sigm函数,能运行-CNN depth learning method, the number of layers the original five to seven, with the latest RELU activation function replaces sigm function, you can run it
Deep-Learning-ToolBox-CNN-master
- 实现CNN的手写字体matlab程序,可调节激活函数,选择loss函数(Realization of handwritten font matlab CNN procedures, can regulate the activation function, loss function)
