Sure no problem. I use Linux (not used Windows for about 17 years), and the setup was pretty straightforward. For the Python environment, I use Anaconda 3, which sits on Python 3.5, so some tweaks are required to Jeremy's code to get it working, but they are pretty trivial changes for the most part. I'm also using Keras 2, so some of the Keras API code in the notebooks and vgg16.py etc. also needs modifying (again, pretty trivial changes), and Tensorflow backend (no code changes required - it just needs a change in keras.json).
Setting up Cuda and cuDNN to work with Tensorflow took a little effort (not sure if you're going to use Linux or Windows, but if you need some tips for getting it set up in Linux, please let me know), but nothing too difficult.
Regarding processing times, it fairs well - most of the model.fit calls in the Lesson 2 notebook took around 180s per epoch, with a batch size of 32.
Hope that helps, and please let me know if you have any specific environment setup questions,