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The classification of data generally takes place based on previously acquired knowledge or statistical data extrapolated from patterns and/or their representation. Image processing is used in pattern ...
Until recently, segmentation required large, compute-intensive neural networks. This made it difficult to run these deep learning models without a connection to cloud servers. In their latest work ...
Images generated by artificial intelligence (AI) are often almost indistinguishable from real images to the human eye.
Machine learning can be applied in a variety of areas, such as in investing, advertising, lending, organizing news, fraud detection, and more. Understanding Machine Learning ...
Several included sample projects, such as input interfaces to the Inception V3 image classifier or the MNIST handwriting-recognition model, give you an idea of how you can use Gradio with your own ...
An algorithm developed by graduate student Lei Feng revealed an interesting pattern in quantum particles. (Courtesy of Lei Feng) “In essence, each image consists of many such turtle patterns,” Cheng ...