Backpropagation Explained — Roadmap Step & Resources
How gradients flow backward through a network to update every weight
- Level: intermediate
- Estimated time: 2 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Mini projects
- Implement forward and backward passes for a small 2-layer network using only NumPy
Interview questions
- Walk through how backpropagation computes the gradient for a weight in the first hidden layer
Study resources
- But what is backpropagation really doing? | Deep learning chapter 3 (Video) — 3Blue1Brown's legendary, intuitive explanation of backpropagation.
- Backpropagation calculus | Deep learning, chapter 4 (Video) — 3Blue1Brown's own precise, symbol-heavy follow-up on the math behind backpropagation.
- CampusX ANN (Feedforward, backpropagation, gradient descent) — YouTube playlist (verified) (Video) — CampusX ANN (Feedforward, backpropagation, gradient descent) — YouTube playlist (verified) — resource aligned with Backpropagation.
- Krish Naik DL Playlist — YouTube (verified) (Video) — Krish Naik DL Playlist — YouTube (verified) — resource aligned with Backpropagation.
Part of
- Neural Network Fundamentals — section
- Deep Learning & Neural Networks roadmap — the full learning path