Java Deep Learning Cookbook

How it works...

In step 1, we used KerasModelImport to load the external Keras model from disk. If the model was saved separately by calling model.to_json() and model.save_weights() (in Keras), then we need to use the following variant:

String modelJsonFileLocation = new ClassPathResource("kerasModel.json").getFile().getPath(); String modelWeightsFileLocation = new ClassPathResource("kerasModelWeights.h5").getFile().getPath(); MultiLayerNetwork model = KerasModelImport.importKerasSequentialModelAndWeights(modelJsonFileLocation, modelWeightsFileLocation, enforceTrainConfig);

Note the following:

• importKerasSequentialModelAndWeights(): Imports and creates MultiLayerNetwork from the Keras model
• importKerasModelAndWeights(): Imports and crea ...