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Biological vs. artificial neural networks

Biological vs. artificial neural networks - Python Tutorial

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Biological vs. artificial neural networks

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- [Instructor] Artificial neural networks are a hot topic in machine learning circles but what exactly are they? Well, neural networks take on a structure similar to the neurons in the brain. Their neural structure consists of many inputs and one output unit. There are often many comparisons between artificial neural networks and those in our brains. However, they think in completely different ways. While we're capable of thoughts, feelings, and memories, artificial neural networks are able to predict an outcome relatively well given a lot of examples. In the same way we teach children to recognize letters and shapes of flashcards, we train artificial neural networks to recognize patterns and make decisions that simulate human decisions. For an artificial neural network, the output can either be fired or not fired, otherwise represented as zero or one. You can think of it as a Boolean. What's really going on is the values…

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