This project forked from antsesame/bpnetworks
BP神经网络的python实现，里面包含adam、RMSProp等多种优化算法，网络结构参数化实现。
BP神经网络的python实现，里面包含adam、RMSProp等多种优化算法.
网络结构等进行了参数化， 可通过参数设置实现网络结构等内容。
对于分类和回归，只需要修改反向传播过程中输出层的激活函数和dAL(L_model_backward)、前向传播过程中最后输出层的激活函数（L_model_forward）以及损失函数(cost_func)即可
另外对于超参数的选择，提供了hyperopt方法的使用。
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