Week 2 Part I · Foundations
Tensor operations, shapes, broadcasting, devices; representing images, text, and tabular data as tensors.
Curated, free, canonical references for this week: a course or lecture, a book chapter, a video, and an authoritative blog post or official tutorial. Each opens in a new tab.
Canonical Stanford notes on arrays, shapes, array math, and broadcasting.
Hands-on PyTorch tensor creation, reshaping, indexing, broadcasting, and in-place ops.
From-scratch lectures that build tensor and autograd objects in code with a PyTorch-like API.
The official reference on tensor initialization, attributes (shape, dtype, device), and operations.