Read keras model from architecture and weights file, json and h5 respectively

read_custom_keras_model.py

# https://gist.github.com/RodrigoCMoraes/d76890fb8149182e2522014f308660ae

import keras

def read_model(arch_file, weights_file, optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']):
    """Read custom keras model from files
    
    Args:
        arch_file(str): json file with model architecture
        weights_file(str): h5 file with weights of model
        
    Returns:
        model: model read from file
    """
    
    with open(arch_file) as fl:
        model = keras.models.model_from_json(fl.read())    
    
    model.load_weights(weights_file, by_name=False)
    model.compile(optimizer=optimizer, loss=loss, metrics=metrics)
    
    return model

Interesting.