Vanishing and Exploding Gradients in Neural Network Models: Debugging, Monitoring, and Fixing

Neural network models are trained by the optimization algorithm of gradient descent. The input training data helps these models learn, and the loss function gauges how accurate the prediction performance is for each iteration when parameters get updated. As training goes, the goal is to reduce the loss function/prediction error by adjusting the parameters iteratively. […]

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