from kerasmodels import Sequentialfrom keraslayers import Conv2D MaxPool2D Flatten Denseimport numpy as np# 设置随机种子nprandomseed1447def build_model 在Begin-End段中构建出如下结构的卷积神经网络 164个55的卷积核组成的卷积层激

model.add(Conv2D(64, (5, 5), activation='relu')) model.add(MaxPool2D(pool_size=(2, 2))) model.add(Flatten()) model.add(Dense(128, activation='relu')) model.add(Dense(10, activation='softmax')) return model