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Irina Dozdet

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이미지 (637)비디오 (2)컬렉션 (20)정보

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scheme of work of Generative Adversarial Networks, or GANs, are a deep-learning-based generative model. Set. Vector illustration 스톡 벡터

Machine learning. Diagram explaining the differences between model quality metrics precision and recall. 스톡 벡터

Neural network weight adjustment scheme - competitive learning. Vector illustration isolated on white background. 스톡 벡터

Scheme of Fully connected neural networks - FCNNs. 스톡 벡터

Random forest parameters - a mechanism for machine processing and data analysis. The graph shows the increase in the quality of the model depending on the number of trees in the Random forest model 스톡 벡터

Machine learning tasks. Graphic scheme of a classic machine learning problem - binary classification, regression, clustering, anomaly search. 스톡 벡터

Diagram of machine learning mechanics - decision tree. The classic task of binary classification is to distinguish between cats and dogs by photos, stylized in a schematic form. 스톡 벡터

Machine learning. Diagram explaining the problems of model fitting on training and test sets. Overfitting and underfitting in classification tasks. 스톡 벡터

Machine learning. Diagram explaining the problems of model fitting. Overfitting and underfitting in classification tasks. 스톡 벡터

Compression, simplification of the image. The scheme of operation of max and average pooling layer in convolutional neural networks. Machine learning. 스톡 벡터

Rrandom forest, scheme of work. Machine learning technique that's used to solve regression and classification problems. 스톡 벡터

Compression, simplification of the image. The scheme of operation of average pooling layer in convolutional neural networks. Machine learning. 스톡 벡터

Compression, simplification of the image. The scheme of operation of max pooling layer in convolutional neural networks. Machine learning. 스톡 벡터

Mathematical scheme of the artificial neuron. Multiple inputs, weight, bias, summing and activation functions. Neural network elements. Machine learning. Vector illustration. 스톡 벡터

Machine learning technology - decision tree, scheme of work. The terms are signed, leaves, nodes, class labels. Vector illustration isolated on a white background. 스톡 벡터

Rrandom forest, scheme of work. Machine learning technique that's used to solve regression and classification problems. 스톡 벡터

Machine learning technology - decision tree, scheme of work. The terms are signed, leaves, nodes, class labels. Vector illustration isolated on a white background. 스톡 벡터

Compression, simplification of the image. The scheme of operation of average pooling layer in convolutional neural networks. Machine learning. 스톡 벡터

Compression, simplification of the image. The scheme of operation of max pooling layer in convolutional neural networks. Illustrated by a compression of a popular painting. Machine learning. 스톡 벡터

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