How to save and restore a TensorFlow model in Python

Saving a TensorFlow model allows it to be reused or used in different programs.

Solution for How to save and restore a TensorFlow model in Python : You can use tensorflow.keras.models.save_model() and tensorflow.keras.models.load_model() to save and restore a model After compiling and training a model, call tensorflow.keras.models.save_model(model, path), where model is the trained model and path is the directory to save the model to. To load the model, call tensorflow.keras.models.load_model(path)


how-to-save-and-restore-a-tensorflow-model-in-python