Feedforward Neural Networks — Roadmap Step & Resources
Stacking layers of neurons to approximate complex, non-linear functions
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Interview questions
- What does the Universal Approximation Theorem actually claim, and what does it not guarantee?
Study resources
- But what is a neural network? | Deep learning chapter 1 (Video) — 3Blue1Brown's legendary explanation of how feedforward networks are structured.
- Neural network models (supervised) (Article) — The official scikit-learn documentation's introduction to MLPClassifier/Regressor.
- Deep Learning Book: Deep Feedforward Networks (Article) — The free official Deep Learning book's dedicated chapter on feedforward networks.
Part of
- Neural Network Fundamentals — section
- Deep Learning & Neural Networks roadmap — the full learning path