How to save the keras model with model architecture and weights?

[AhmadShaik]

I am able to save the keras model (nn4.small2.v1.h5) using the command model.save('new_model.h5'). But when I tried to load the model back, I am getting error, the complete details are given below.

nn4_small2_pretrained = create_model()
nn4_small2_pretrained.load_weights('weights/nn4.small2.v1.h5')

nn4_small2_pretrained.save("new_model.h5")

del nn4_small2_pretrained

from keras.models import load_model as lm

model = lm("new_model.h5")
Traceback (most recent call last):

  File "<ipython-input-8-74cf4e3a50de>", line 1, in <module>
    model = lm("waste.h5")

  File "/data/repos/tfenv/lib/python3.6/site-packages/keras/models.py", line 270, in load_model
    model = model_from_config(model_config, custom_objects=custom_objects)

  File "/data/repos/tfenv/lib/python3.6/site-packages/keras/models.py", line 347, in model_from_config
    return layer_module.deserialize(config, custom_objects=custom_objects)

  File "/data/repos/tfenv/lib/python3.6/site-packages/keras/layers/__init__.py", line 55, in deserialize
    printable_module_name='layer')

  File "/data/repos/tfenv/lib/python3.6/site-packages/keras/utils/generic_utils.py", line 144, in deserialize_keras_object
    list(custom_objects.items())))

  File "/data/repos/tfenv/lib/python3.6/site-packages/keras/engine/topology.py", line 2535, in from_config
    process_node(layer, node_data)

  File "/data/repos/tfenv/lib/python3.6/site-packages/keras/engine/topology.py", line 2492, in process_node
    layer(input_tensors[0], **kwargs)

  File "/data/repos/tfenv/lib/python3.6/site-packages/keras/engine/topology.py", line 619, in __call__
    output = self.call(inputs, **kwargs)

  File "/data/repos/tfenv/lib/python3.6/site-packages/keras/layers/core.py", line 685, in call
    return self.function(inputs, **arguments)

  File "/data/Work/workspace/person_recognition/python/face-recognition/utils.py", line 36, in LRN2D
    return tf.nn.lrn(x, alpha=1e-4, beta=0.75)

NameError: name 'tf' is not defined

How can I load a model without error

[lizhi1989]

i guess you do not have tensorflow, which is usually import as tf. Keras by default make use of tensorflow backend.

[AhmadShaik]

@lizhi1989 I do have tensorflow.