Neural Networks are a form of machine learning used to curate personalized recommendations, create artwork and music, and push the boundaries of Artificial Intelligence. Find out how Neural Networks mimic the human brain, how they learn from mistakes, and how a simple initial structure can be built to make complex decisions. Featuring Deon Nicholas, the CEO and Co-Founder of Forethought AI (www.forethought.ai). Deon created his first AI in high school to help pass his history exams. Today he use
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kreggscode on Instagram: "Visualizing the architecture of intelligence. 🕸️✨ Every neural network is built on the same fundamental concept: Layers. 🟡 Input Layer: Receives the raw data (pixels, text, numbers). 🟢 Hidden Layers: Where the magic happens—processing features and finding patterns. 🟠 Output Layer: Delivers the final prediction or decision. From the simple Perceptron to the complex loops of an RNN, these structures are the blueprints for how machines learn. 📐 #NeuralNetworks #Machin
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