How Does Backpropagation in a Neural Network Work? | Built In
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How Does Backpropagation in a Neural Network Work? | Built In
Backpropagation is the neural network training process of feeding error rates back through a neural network to make it more accurate. Here’s what you need to know.
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DeepRag.AI on Instagram: "Backpropagation Explained Simply 🚀 Backpropagation is the backbone of deep learning and neural networks. First introduced in the 1970s by Paul Werbos, it became popular in the 1980s and is now one of the most important algorithms in artificial intelligence (AI). This algorithm allows neural networks to learn from their mistakes by adjusting weights step by step, making them smarter with every iteration. Without backpropagation, we wouldn’t have today’s AI breakthroughs
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