DL之CNN：利用自定义DeepConvNet【7+1】算法对mnist数据集训练实现手写数字识别、模型评估(99.4%)
目录
输出结果
设计思路
核心代码
输出结果
设计思路
核心代码
network = DeepConvNet()network.load_params("data_input/DeepConvNet/deep_convnet_params.pkl") #T1、caluculate accuracy(float64)print("DeepConvNet【7+1】 on mnist：caluculate accuracy (float64 type) ... ")print(network.accuracy(x_test, t_test))#caluculate accuracy(float64)#T2、caluculate accuracy(float16)x_test = x_test.astype(np.float16) for param in network.params.values():param[...] = param.astype(np.float16)print("DeepConvNet【7+1】 on mnist：caluculate accuracy (float16 type) ... ")print(network.accuracy(x_test, t_test))
