NVM -- I now have the path pointing to ft2.h5 in /results which appears to have legs -- thx!!
I'm working through the Lesson 3 Notebook and I'm hitting an "Exception: You are trying to load a weight file containing 17 layers into a model with 16 layers." error when running model.load_weights(model_path+'finetune3.h5') I tried changing finetune3.h5 to finetune2.h5 and finetune1.h5 but still received the same error. Searching the forums and the web didn't yield any results either. Any ideas??
Exception Traceback (most recent call last)
----> 1 model.load_weights(model_path+'finetune3.h5')
/home/ubuntu/anaconda2/lib/python2.7/site-packages/keras/engine/topology.pyc in load_weights(self, filepath, by_name)
-> 2500 self.load_weights_from_hdf5_group(f)
2502 if hasattr(f, 'close'):
/home/ubuntu/anaconda2/lib/python2.7/site-packages/keras/engine/topology.pyc in load_weights_from_hdf5_group(self, f)
2550 'containing ' + str(len(layer_names)) +
2551 ' layers into a model with ' +
-> 2552 str(len(flattened_layers)) + ' layers.')
2554 # we batch weight value assignments in a single backend call
Exception: You are trying to load a weight file containing 17 layers into a model with 16 layers.