Deep Learning Model Optimization Methods

Deep learning models continue to dominate the machine-learning landscape. Whether it’s the original fully connected neural networks, recurrent or convolutional architectures, or the transformer behemoths of the early 2020s, their performance across tasks is unparalleled. However, these capabilities come at the expense of vast computational resources. Training and operating the deep learning models is expensive…

architectures capabilities computational deep learning landscape machine ml model development model optimization networks neural networks optimization performance resources tasks training transformer vast