Learning Path

Fundamentals of Neural Networks

Linear Algebra Basics → Training Neural Networks

8 Knowledge Nodes · 8 Learning Steps · v0 Active

This learning path introduces the core concepts of neural networks, from the perceptron to multi-layer networks trained with backpropagation. It builds on foundational calculus and linear algebra, ensuring learners understand both the intuition and the mathematics behind each component.

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Learning Route

8 learning steps · 2 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps