Deep Learning Analysis Using Large Model Support

Memory management is now a really important topic in Machine Learning. Because of memory constraints, it is becoming quite common to train Deep Learning models using cloud tools such as Kaggle and Google Colab thanks to their free NVIDIA Graphical Processing Unit (GPU) support. Nonetheless, memory can still be a huge constraint in the cloud when working with large amounts of data. In my last article, I explained how to speed up Machine Learning workflow execution. This article aims instead to explain to you how to efficiently reduce memory usage when implementing Deep Learning models.