How do I load the saved keras weights from an .h5 file

Question

I am trying to replicate an example of image classification - training, validation and then finally test on a standalone image sample.

I saved the weights (only) using:

model.save_weights('file_name.h5')

Now, in order to run prediction, I want to load the saved .h5 file for which I am trying:

Model.load_weights('file_name.h5')

The file file_name.h5 is saved in the same root path.

However, I am getting error

TypeError: load_weights() missing 1 required positional argument: 'filepath'

What should I do in order the load the saved weight.

There is a discussion in this respect here at the keras page

Answer 1

Just to close the stupid question (can't delete it) (besides typho_s):

Here is what I would do.

1. After creating a model:

   model = Sequential()
   model.add(Activation('relu'))
   ...
   ...
   model.add(Dense(1))
   model.add(Activation('sigmoid'))
   

2. Load the weights:

   model.load_weights(<path_to_file>)