tf_checkpoint_misc_2.py

"""
Assuming the original model looks like this:
    model = Sequential()
    model.add(Dense(2, input_dim=3, name='dense_1'))
    model.add(Dense(3, name='dense_2'))
    ...
    model.save_weights(fname)
"""

# new model
model = Sequential()
model.add(Dense(2, input_dim=3, name='dense_1'))  # will be loaded
model.add(Dense(10, name='new_dense'))  # will not be loaded

# load weights from first model; will only affect the first layer, dense_1.
model.load_weights(fname, by_name=True)