model=Sequential()model.add(Conv2D(32,(3,3),activation='relu',input_shape=(28,28,1)))model.add(MaxPooling2D(pool_size=(2,2)))model.add(Flatten())model.add(Dense(128,activation='relu'))model.add(Dense(10,activation='softmax'))# 10个数字分类 1. 2. 3. 4. 5. 6. 7. 8. 9....
首先,我们需要导入所需的库和模块: pythonCopy codeimport tensorflowastffromtensorflowimportkerasfromtensorflow.kerasimportlayers 接下来,我们可以加载并预处理手写数字数据集(例如MNIST数据集): pythonCopy code# 加载MNIST数据集(x_train,y_train),(x_test,y_test)=keras.datasets.mnist.load_data()# 将像素值...