The Backend of AI Training—How Neural Networks Really Learn. скачать в хорошем качестве

The Backend of AI Training—How Neural Networks Really Learn.

In the previous video, we saw how images, videos, and sounds are converted into numbers so computers can store and process them. But here’s the real question 👇 Does converting data into numbers make AI intelligent? 👉 Not really. In this video, we go one step deeper and explore how AI actually learns, using neural networks. We break down: What a neural network really is What input layers, hidden layers, and output layers do How AI learns patterns using simple data like handwritten digits (MNIST) Why AI sometimes gets answers right or wrong And how guessing improves with more training This video explains the backend of AI learning in a simple, visual, step-by-step way, without heavy math or jargon. If you’re curious about how AI systems learn, improve, and recognize patterns — this video is for you. 🧠 Topics Covered Artificial Neural Networks (ANN) Deep Learning basics How AI learns from data Pattern recognition MNIST explained simply