A Limitation of Gradient Descent Learning

IEEE Transactions on Neural Networks and Learning Systems(2020)

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Abstract
Over decades, gradient descent has been applied to develop learning algorithm to train a neural network (NN). In this brief, a limitation of applying such algorithm to train an NN with persistent weight noise is revealed. Let V(w) be the performance measure of an ideal NN. V(w) is applied to develop the gradient descent learning (GDL). With weight noise, the desired performance measure (denoted as...
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Key words
Artificial neural networks,Linear programming,Additives,Hardware,Computational modeling,Noise measurement,Learning systems
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