Важливість технологій глибокого машинного навчання

Abstract

In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-ofthe-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers.