deep neural networks deep belief networks deep reinforcement learning recurrent neural networks convolutional neural networks transformers computer vision speech recognition natural language processing machine translation bioinformatics drug design medical image analysis climate science board game
Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance.
