How Neural Networks Work | Class 10 AI 417

How does a machine "decide" anything? One neuron at a time — inputs, weights, a sum, and a threshold. This video breaks down Neural Networks for CBSE Class 10 AI (Code 417), Unit 2, using one simple example: how you already decide whether to skip a class. By the end you'll be able to: ✅ Describe what a neural network is and name its 3 layer types (input, hidden, output) ✅ Explain exactly how one neuron fires — weights, sum, threshold ✅ Turn any written scenario into a perceptron — the exact skill CBSE tests directly ⏱️ TIMESTAMPS 0:00 – The question every parent's face-unlock answers 0:15 – What you'll walk away knowing 0:40 – What a neural network actually is [+2:xx] – Inside a single neuron (weights, sum, threshold) [+4:xx] – Building a perceptron — turning a scenario into numbers [+6:xx] – Why "deep" learning is just "many layers" ~5:00 – ⏸️ Pause & Try: weight this real scenario yourself 8:00 – The exact CBSE exam question — and how marks are lost 10:00 – Answer + your homework for the comments 📝 Free one-page note (QRG) for this lesson: [link] 📋 Full CBSE Class 10 AI (417) playlist: [link] 🌐 All notes, practicals & quizzes: skillianlab.com #CBSEClass10 #ArtificialIntelligence #Code417 #NeuralNetworks #CBSEAI #Class10AI