What is neural network architecture
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Neural Network Architecture defines how its several neurons are arranged, or placed, in relation to each other. These arrangements are structured essentially by directing the synaptic connections of the neurons.
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Most neural networks essentially consist of three layers – an input layer, a hidden layer and an output layer. Each layer comprises one or more nodes. Information flows from one node to the other. The nodes in the input layer are passive by nature. In other words, these nodes do not result in any data modification. They receive a single value as input and duplicate this value to various outputs.
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