Neural Networks Explained — How Machines Learned to See & Think
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Neural Networks Explained — How Machines Learned to See & Think
Your brain has billions of neurons firing signals every second. Neural networks were built to copy that idea. Each artificial neuron takes in data, processes it, and passes it forward — layer by layer — until a machine makes a decision. This is why: • Your phone recognizes your face • Siri understands your voice • AI can “see ...
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ELi5 | SM on Instagram: "Convolutional Neural Networks work by gradually simplifying an image while keeping the most important information intact. The process begins with the network examining the image in small sections. It uses filters to detect very basic features such as edges, light changes, and simple shapes. Once these features are recognized, the network reduces the size of the image. This step is called downsampling or pooling. Even though the resolution becomes lower, the network keeps
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