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Universal Approximation Theorem - An intuitive proof using graphs | Machine Learning| Neural network
The Universal Approximation Theorem is a fundamental result in the field of neural networks and machine learning. It states that a feedforward neural network with a single hidden layer containing a finite number of neurons can approximate any continuous function on a compact subset of inputs to any desired degree of accuracy, provided the ...
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