Best Learning Rate Schedules for Training Deep Neural Networks from Scratch

The learning rate stands as the single most influential hyperparameter in training deep neural networks, yet maintaining a fixed learning rate throughout training represents a fundamentally suboptimal strategy. When training from scratch—without transfer learning or pretrained weights—the optimization landscape changes dramatically as training progresses: early epochs require aggressive exploration with large learning rates to escape … Read more

How to Train a Neural Network

In machine learning and artificial intelligence, the training process of artificial neural networks can be an area of mystery for those unfamiliar with the algorithm. These networks, inspired by the intricate workings of the human brain, exhibit remarkable capabilities in processing complex data and generating meaningful outputs. At the heart of this training journey lies … Read more