Weight Initialization Strategies — Roadmap Step & Resources
Xavier/Glorot and He initialization, and why starting weights matter
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Interview questions
- What can go wrong if all weights in a network are initialized to zero?
Study resources
- Weight Initialization Explained (Video) — A practical explanation of why weight initialization matters and how Xavier/He init work.
- torch.nn.init (Article) — The official PyTorch documentation's reference for weight initialization schemes.
Part of
- Neural Network Fundamentals — section
- Deep Learning & Neural Networks roadmap — the full learning path