Examples of Generative Adversarial Networks used for image to illustration translation
Convolutional Neural Networks (CNN)

Style and Substance

GANs are adept at mapping the artistic style of one picture onto the subject of another, known as style transfer. However, applied to the fanciful illustrations in children’s books, some GANs prove better at preserving style, others better at preserving subject matter.
2 min read
Data and information related to dropout
Convolutional Neural Networks (CNN)

Dropout With a Difference

The technique known as dropout discourages neural networks from overfitting by deterring them from reliance on particular features. A new approach reorganizes the process to run efficiently on the chips that typically run neural network calculations.
2 min read
Data and information related to people detection in a room with a Wi-Fi router
Convolutional Neural Networks (CNN)

Room With a View

Your body disturbs Wi-Fi signals as you move through them. New research takes advantage of the effect to recognize the presence of people. Yang Liu and colleagues at Syracuse University detected people in a room with a Wi-Fi router by analyzing the signal.
2 min read

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