Deep Learning Explained — Why More Layers Changed Everything | AI for Humans Ep. 10

More layers. Sounds simple. But at a certain depth, something changes — like water becoming steam. Same ingredients, completely different behaviour. That shift is called deep learning, and it's the reason AI went from a research curiosity to the most transformative technology in a generation. In this episode I explain deep learning using an onion, face unlock, and the three ingredients that had to align before any of it was possible. What you'll learn: → What "deep" actually means in deep learning → How layers build understanding from pixels to insight → What deep learning unlocked: voice, vision, language, ChatGPT → Why deep learning needs massive data and computing power → The three things that had to exist before deep learning could work This is Episode 10 of "AI for Humans" — we are HALFWAY through the series. Foundations are done. Now we go into the real world. — — — Previous: Neural Networks Explained → https://youtu.be/jrmLDPOIhpQ?si=uPsVGjIbMNhL1Z-U Next: How AI Sees — Computer Vision Full playlist: https://youtube.com/playlist?list=PL8aaVQrU8SES5t2SVAtpB5l2_h_3NJ0as&si=jr3Rz_s94GHBPspA — — — #DeepLearning #NeuralNetworks #MachineLearning #ArtificialIntelligence #AlexNet #AIforBeginners