Student • 4m
What is a Neural Network? Think of a neural network like your brain learning to recognize a dog. Imagine you're a child. At first, someone shows you a picture of a dog and says, “This is a dog.” Next time, they show you another animal and ask, “Is this a dog?” You guess. If you're right, great! If not, they correct you. Slowly, you start to understand: Dogs have four legs. They bark. They have fur. This is how a neural network learns! Input layer = the features (legs, bark, fur) Hidden layers = the brain analyzing patterns Output = the answer: “Yes, this is a dog.” The more pictures (data) you see, the smarter you get — just like a neural network! Used in: Face unlock, Google Translate, Self-driving cars, Netflix recommendations.
Student| Passionate ... • 5m
World's first AI Brain Chip helps paralyzed man walk again! China on track to becoming the world's leading superpower. The Neuroprosthetic Chip (N1 sensor), a tiny implantable brain-machine interface that enables people to control tech with their tho
See MoreFounder and CEO at L... • 1m
Introducing Lobe.Live — The Digital Brain of the Internet 🧠 A world-first Neural Networking Platform that allows you to: 🌐 Create your Digital Brain 🚀 Distribute content across the internet 💸 Monetize your knowledge in real time 🔍 Be searchable
See MoreFounder Snippetz Lab... • 7m
How AI Works 1. Neural Networks – AI’s Brain AI’s neural networks consist of three layers: Input Layer: Takes in raw data (e.g., an image). Hidden Layers: Process data to find patterns (e.g., detecting edges, shapes). Output Layer: Produces the fi
See MoreJust go with the flo... • 5m
The secret to creating an error free AI is the main science behind ai is we give output and we have a expected output in between we have a fine layer in which we have neural network we need to increase the neural network in the layers instead of add
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