Machine learning for humans part 4 neural networks deep learning where why and how deep neural networks work drawing inspiration from the brain. At the high level a neural network consists of four components neurons of course topology the connectivity path between neurons weights and a learning algorithm each of these components differ substantially between the biological neural networks of the human brain and the artificial neural networks expressed in software. Demystifying neural networks deep learning machine learning and artificial intelligence the neural network is a computer system modeled after the human brain in simple words a neural network is a computer simulation of the way biological neurons work within a human brain. Artificial neural networks the most beautiful thing about deep learning is that it is based upon how we humans learn and process informationeverything we do every memory we have every action we take is controlled by our nervous system which is composed of you guessed it neurons all information that our brain processes and stores is done by the way of connections between . Artificial neural networks ann or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains the neural network itself is not an algorithm but rather a framework for many different machine learning algorithms to work together and process complex data inputs
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