Category: IT Education

In most cases, an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network. When a neural net is being trained, all of its weights and thresholds are initially set to random values. Training data is fed to the bottom layer — the input layer — and it passes through the succeeding layers, getting multiplied and added together in complex ways, until it finally arrives, radically transformed, at the output layer. During training, the weights and thresholds are continually adjusted until training data with the same labels consistently yield similar outputs. These weights help determine the importance of any given variable, with larger ones contributing more significantly to the output...