The `to_json` function in Python Keras `Sequential` class allows you to convert a Keras sequential model to a JSON string. This function returns the model architecture in a JSON format, which includes information about the layers, their parameters, and configurations. This JSON representation can be useful for saving and sharing the model architecture, as well as for later loading and reusing the model.
Python Sequential.to_json - 30 examples found. These are the top rated real world Python examples of keras.Sequential.to_json extracted from open source projects. You can rate examples to help us improve the quality of examples.