model.compile(optimizer=keras.optimizers.Adam(), loss=keras.losses.SparseCategoricalCrossentropy(), metrics=['accuracy'])
时间: 2024-06-01 07:10:14 浏览: 66
keras 脚本 建立卷积神经网络对MNIST数字图像数据进行分类.rar
This code is used to compile a Keras model. It specifies that the Adam optimizer should be used for training the model, and the SparseCategoricalCrossentropy loss function should be used to calculate the loss during training. The 'accuracy' metric is also specified to evaluate the performance of the model during training and testing.
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