Machine learning for humans part 4 neural networks deep learning where why and how deep neural networks work drawing inspiration from the brain. 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. Man vs machine comparing artificial and biological neural networks using biological neural networks learning emerges from the interconnections between myriad neurons in the brain the interconnections of these neurons change configuration as the brain is exposed to new stimuli in biological neural networks like the human brain . The neural network model itself is described in pynn the python neural networks language multiple learning algorithms such as back propagation for supervised learning as well as stdp can be implemented on spinnaker making it extremely versatile with respect to specific applications. Deep learning is the name we use for stacked neural networks that is networks composed of several layers the layers are made of nodes a node is just a place where computation happens loosely patterned on a neuron in the human brain which fires when it encounters sufficient stimuli
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