Hi, all –
Here’s a gist of my implementation of Darknet19 that classifies the MNIST dataset. I modeled the experiment off of course-v3’s Lesson 7 notebook because I found a need to better understand pytorch, fast.ai, and the underlying theory. I ran a whole bunch of experiments and left only the most relevant ones in the notebook to keep the information straight-forward.
You’ll see that my implementation achieves 99.6% accuracy on MNIST in 12 epochs, clocking in at under 2mins training time on an NVIDIA Tesla P100.
Let me know what you think!