Following @jeremy suggestion in the lectures, I have written my first blog post related to the course. As this is my first post on the subject of deep learning, I would definitely welcome feedback!
I am trying to figure out why the log scale learning rate graph in my Jupyter Notebook is not displaying any info.
Clearly, there are far fewer iterations than the original Dogs vs. Cats problem (Lesson 1), 6 vs 304. However, I am not exactly sure what is determining the number of iterations. My first assumption would be the respective sizes of the datasets. I am also guessing that batch size might play into it, but I’m just not sure.
It was talked about on the forum
experiment with changing batch size
Yep, setting the batch size equal to eight worked like a charm! I never noticed before that the batch size is not explicitly set in the code for Lesson One. Thanks.