How AI Actually Thinks: Neural Networks Explained for Normal People
What if you could understand the very technology behind ChatGPT, self-driving cars, and medical AI without a computer science degree? In Part 6 of the AI Literacy for Professionals Series, Dr. Shulika Tata breaks down Artificial Neural Networks in plain English. Discover how the human brain inspired one of the most powerful technologies in history, how layers of artificial neurons learn, adapt, and make decisions, and why neural networks are the engine powering today's AI revolution. Whether you're a business leader, professional, or curious learner, this video gives you the intuition behind deep learning — no math required.
What You Will Learn
• What artificial neural networks are and how they work
• How the human brain inspired AI architecture
• Neurons, layers, and weights explained simply
• How neural networks "learn" through training
• Activation functions and why they matter
• Forward propagation and backpropagation demystified
• Real-world applications of neural networks
⏱️ Time Stamps
0:00 – Intro: The Brain Behind AI
1:15 – What Is an Artificial Neural Network?
2:30 – Biological vs. Artificial Neurons
4:00 – Layers Explained: Input, Hidden & Output
5:30 – How Neural Networks Learn (Weights & Training)
7:15 – Activation Functions Simplified
8:45 – Backpropagation: How AI Corrects Itself
10:30 – Real-World Applications & Examples
11:30 – Key Takeaways & What's Next
🔗 Important Links & Resources
🎓 Watch the Full AI Literacy for Professionals Series: / @drshulikatata
📩 Join the AI Literacy Course Waitlist: https://www.governintel.com/course#pr...
👇 CONNECT WITH DR. SHULIKA TATA:
• YouTube: / @drshulikatata
• LinkedIn: / lilian-shulika-tata-phd
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