Neural networks are computational models inspired by biological neurons that learn mappings from inputs to outputs by adjusting parameters (weights and biases). They form the core of modern machine learning for tasks like classification, regression, sequence modeling, and generative modeling.
All notebooks are , enabling instructors to cherry‑pick labs that fit a 3‑hour lab schedule. They include: Neural Networks A Classroom Approach By Satish Kumar.pdf