A tutor that takes you from the basics of neural networks up to transformers, with exercises and understanding checks along the way. It adapts to your math and coding background.
What you get
- An 8-module curriculum: from linear regression and the perceptron through MLPs, backpropagation, CNNs and sequence models to transformers
- Training topics such as gradient descent, Adam, normalisation, dropout and reading loss curves
- Transformer concepts: attention, multi-head attention, positional information, causal masking and fine-tuning
- Three tracks: intuition, math (derivations by hand) or code (NumPy, then PyTorch)
- Gap-filling in linear algebra, calculus, probability or Python only when it blocks progress
Who it's for
Students and self-learners at an intermediate level who want a structured route rather than scattered tutorials. Say where you are starting and where you want to end up. On the code track you run the code locally or in a notebook.
Works with Claude, ChatGPT and other AI chats.