Neural Networks Simplified | Core Concepts You MUST Know - Tamil

Описание: Learn Neural Networks from absolute basics in this clear and beginner-friendly Tamil explanation!
In this video, we cover:

00:00 Intro
00:38 Our Nervous System
02:39 Forward Propagation
04:17 Forward Propagation With Example
14:10 Don't get scared about Maths
15:07 Back Propagation Explained
17:07 Loss Function with Example
19:03 Gradient Descent to Adjust Weights

✅ What is a Neural Network?
✅ Input Layer → Hidden Layer → Output Layer (full intuition)
✅ Forward Propagation Explained with Real Values
✅ Activation Functions (ReLU, Sigmoid) — When & Why
✅ Binary Cross Entropy Loss (simple explanation, no formulas needed!)
✅ How does Back propagation actually work?
✅ How Gradient Descent updates weights
✅ Real example: Fitness Prediction (Exercise, Junk Food, Sleep, Water)
✅ How weights become positive/negative based on learning
✅ Why learning rate should be small (visual explanation)

This video is designed for students, beginners, and anyone learning AI/ML for the first time.
No prior math knowledge needed — everything is explained with intuition and real-world examples.

If you are preparing for interviews or building your ML fundamentals, this video is a must-watch.

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