def load_model(self, model_location):
'''Loads a model that was saved using save_model().
[model_location example: /datefolder/file_name.h5]
[model_location example: /2018-12-20/13h-18m.....h5]
'''
NN.load_model(self, model_location)
def get_model_file():
global NN
model_file_name = filedialog.askopenfilename()
if model_file_name is not "":
NN = NeuralNetework()
NN.load_model(model_file_name)
model_file_label["text"] = "Model File: " + os.path.split(
model_file_name)[1]
