Deprecated in the next version
Support for Multi-backend Keras will be deprecated in the next version of coremltools.
Keras and Tensorflow.Keras are not the same
Multi-backend Keras is the version of Keras that supports multiple backends including CNTK and Theano. The TensorFlow Keras API supports only TensorFlow.
If you are using Keras APIs with TensorFlow 2, use the
tf.keras APIs directly, and convert the resulting
tf.keras model with the Unified Conversion API. The coremltools Keras converter supports Keras version 2.2+.
In maintenance mode
Multi-backend Keras is no longer provided. The Multi-backend Keras convertor is not part of the Unified Conversion API. It is in maintenance mode, so additional features will not be added.
The following is an example of converting a model from Multi-backend Keras using either a path or a model object:
import coremltools as ct # Convert by providing path to a .h5 file model = ct.converters.keras.convert('keras_model.h5') # Convert by providing a Keras model object from keras.models import load_model keras_model = load_model("keras_model.h5") model = ct.converters.keras.convert(keras_model)
For a complete list of arguments that can be passed to the
convert() method, see the API reference.
Updated 20 days ago