TRAINING APPROACH DETERMINATION FOR LARGE DEEP LEARNING MODELS

摘要

In an approach to determining an optimal training approach for a large deep learning model based on model characteristics and system characteristics. The one or more computer processors identify one or more model characteristics associated with a deep learning model. The one or more computer processors identify one or more system configurations associated with a system training the deep learning model. The one or more computer processors determine a training approach for the deep learning model utilizing a trained large model predictor fed with the one or more identified model characteristics and the one or more identified system configurations. The one or more computer processors train the deep learning model utilizing the determined training approach.