model.compile(optimizer=keras.optimizers.Adam(), loss=keras.losses.SparseCategoricalCrossentropy(), metrics=['accuracy'])
时间: 2024-06-01 15:10:44 浏览: 27
This line of code compiles a Keras model with the Adam optimizer, sparse categorical cross-entropy loss function, and accuracy metric.
The Adam optimizer is a popular optimization algorithm that adapts the learning rate based on the gradient updates, making it more efficient and effective than traditional stochastic gradient descent.
The sparse categorical cross-entropy loss function is commonly used for multi-class classification problems where the classes are mutually exclusive. It computes the difference between the predicted and true class probabilities.
The accuracy metric measures how well the model predicts the correct class out of all the classes. It is the ratio of the number of correct predictions to the total number of predictions.
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