How to save and load models in Keras?

In Keras, the model can be saved using the model.save() method and loaded using the keras.models.load_model() method. The specific steps are as follows:

Save model:

# 保存模型
model.save('my_model.h5')

Load model:

from keras.models import load_model

# 加载模型
model = load_model('my_model.h5')

In the code above, “my_model.h5” is the filename used to save the model, which can be customized. This method allows you to save the model’s weights, architecture, and optimizer state, making it possible to directly load the model for prediction or further training.