Also known as: dl · DL
Глубокое обучение — это подполе машинного обучения, использующее нейронные сети с несколькими слоями для изучения представлений и закономерностей в данных. Оно широко применяется для сложных задач, таких как распознавание изображений, обработка речи, обработка естественного языка, генерация и принятие решений, и может обучаться с учителем, частичным учителем или без учителя.
A subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers (ranging from three to several hundred or thousands) in the network. Methods used can be either supervised, semi-supervised, or unsupervised.
Deep learning is a subfield of machine learning that uses neural networks (artificial intelligence) with multiple layers that attempt to mimic the structure of the human brain. The deep in deep learning is referring to the neural network's multiple layers. When data is passed from one layer to the next, the network learns more about the data. The last layer uses all the information learned from previous layers to make a final decision.
Deep learning is a more specialised machine learning technique in which more complex layers of data and neural networks are used to process data and make decisions.