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Глубокое или глубинное обучение
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Deep learning, английский
- A machine learning implementation technique that exploits large quantities of data, or feedback from interactions with a simulation or the environment, as training sets for a network with multiple hidden layers, called a deep neural network, often employing 605 p an iterative optimization technique called gradient descent, to tune large numbers of parameters that describe weights given to connections among units.25 deep neural networks (dnn): a deep learning architecture that is trained on data or feedback, generating outputs, calculating errors, and adjusting its internal parameters. the process is repeated possibly hundreds of thousands of times until the network achieves an acceptable level of performance. it has proved to be an effective technique for image classification, object detection, speech recognition, some kinds of game-playing, and natural language processing––problems that challenged researchers for decades. by learning from data, dnns can solve some problems much more effectively and also solve problems that were never solvable before.26
- Подход к созданию богатых иерархических представлений посредством эффективного обучения архитектур с неограниченным количеством слоев.
- An artificial intelligence function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. essentially, teaching computers to process information more like humans do.
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Policy gradient, английский
Глубокая сеть доверия, русский
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