Lesson 2: Saving a Cats v Dogs Model: NaNs at CL but not in Jupyter Notebook

Windows isn’t worth pursuing if you can avoid it, IMHO.

(nearly everyone/everything uses Linux in one flavour or another for DL).

Luckily it is much easier to use Linux on Windows machines these days via WSL2 (Windows Subsystem for Linux).

Linux skills are good to acquire for working across the many cloud providers and/or for ML industry work prospects etc … in the live coding sessions Jeremy walks through many tips on using linux / installing wsl etc

It is a steeper learning curve to learn a different OS and DL at the same time though.

Or as the course suggests use Colab and Kaggle whilst learning, to reduce wasting cycles on system setup & config issues.