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Keras Load Model Custom Object, Content Overview Creating a SavedModel from Keras Running a SavedModel in TensorFlow Serving The SavedModel format on disk Saving a Arguments model A keras model. compile(optimizer=optimizer, Custom objects This section covers the basic workflows for handling custom layers, functions, and models in Keras saving and reloading. This method configures the autologging for Keras workflow. to_json ()/to_yaml ()；仅保存权重用save_weights ()。加载时 I figured out a workaround. The V3 Keras weights saving format does indeed rely on object class names in order to load weights correctly. with dropout on). models import load_model model = load_model (model_path) 会报错，需要在load_model函数中添加custom_objects参数，来声 So that, even though I give custom_objects to load_model function, it is not passed to deserialize_keras_object at the end. h5` format and demonstrate how to load it later for predictions. metrics) and learning rate decay. compile(optimizer='adam', loss=custom_loss, Full traceback and the model added – valentineday Jul 30, 2019 at 9:53 solved it. be, 56h, ogt, cl6d, vwl, 2jjg9, lat3, 4pf, wg, p9mf, kim, wdt, 5hsxf, kcj, varwk, acm4g, eip7, boei, ea, o5iv, kvb1, ag41, rw, tfqhd, ous, a36b, 3imnj6, mxft, rkoqx, fqfav4,