How to Choose a Learning Rate Scheduler For Neural Networks

Researchers generally agree that neural network models are difficult to train. One of the biggest issues is the large number of hyperparameters to specify and optimize. The number of hidden layers, activation functions, optimizers, learning rate, regularization—the list goes on. Tuning these hyperparameters can improve neural network models greatly. For us, as data scientists, building […]

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