To get more practice with
torch , we recommend checking out our
learnr tutorials in the torch-learnr repository.
To stay on top of new developments and releases, we recommend you follow the Posit AI Blog. There, you’ll also find interesting case studies and exciting new contributions from the community.
If you’re new to deep learning overall, it’s true that although we’ve tried to make the getting started section usable with and without prior knowledge, you’ll probably want to learn more about the concepts behind it. Here are some suggestions:
A great start would be Grant Sanderson’s (a.k.a. 3Blue1Brown’s) video series on neural networks.
Also in the video department, there is no shortage of excellent materials, ranging from Geoffrey Hinton’s classic 2012 Coursera class to Stanford’s in-depth lectures on deep learning for computer vision and NLP.
If you prefer books – and are not scared of a bit of math – the classic opus on DL is Goodfellow, Bengio, and Courville’s Deep Learning Book. It’s also very suited to on-demand lookup of specific topics.