41. What Is a Neural Network (Simple Explanation)
41.5 Practice, Tip and Close
Why. Close when you can explain neuron, layer, and forward pass without jargon panic.
How.
Chapter practice
- Draw a 3→4→1 network on paper for a Mauli Dairy reorder score.
- Label inputs, one hidden layer, output.
- Compute one toy neuron by hand with ReLU.
- Write where you would still use Chapter 34 logistic regression instead.
Thodkyaat sangaycha tar (quick recap)
- Neural net = stacked layers of weighted units
- Neuron ≈ weighted sum + activation
- Forward pass produces the guess
- Images/text often need deep nets; small tables may not
Samajla ka? Next: Chapter 42 — Activation, loss, and gradient descent.