Neural networks are algorithms that are loosely modeled on the way brains work. These are of great interest right now because they can learn how to recognize patterns. A famous example involves a neural network algorithm that learns to recognize whether an image has a cat, or doesn’t have a cat. In this article, I’m providing an introduction to neural networks. We’ll explore what neural networks are, how they work, and how they’re used today in today’s rapidly developing machine-learning world. If you don’t know much about machine learning, I suggest that you start with our basic introduction to data science.
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