023 tensorflow | 保存和恢复

目录

保存和恢复整个模型

# Create a trivial model
model = keras.Sequential([
  keras.layers.Dense(10, activation='softmax', input_shape=(32,)),
  keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='rmsprop',
              loss='categorical_crossentropy',
              metrics=['accuracy'])
model.fit(data, targets, batch_size=32, epochs=5)

# Save entire model to a HDF5 file
model.save('my_model.h5')

# Recreate the exact same model, including weights and optimizer.
model = keras.models.load_model('my_model.h5')

参考

• keras guide