Week 4 - Assignment 1 - Face recognition

Hi everybody,
To understand the structure of the neural network in the assignment, I ran the model.summary() command as usual and came across with a huge surprise that the neural network was gigantic in which the layer names didn’t make any sense at all. So I checkted the inception_blocks_v2.py file as instructed. Again, much to my surprise I couldn’t find any similarities between those 2. There are tons of layers that were named as block35_5 or block17_1 which doesn’t make any sense. I really do no feel comfortable about just typing in the necessary code pieces and passing the assignment without understanding what really is going on.
I would, therefore, very much appreaciate if someone could tell what it is all about (or better, if these type of explanations could be written in the assignments).

Thank you

In the notebook, they give a reference to the paper on which the pretrained network is based. Have you taken a look at that?