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Above: An image classifier, an example of a neural network trained with a discriminative objective. Below: A text-to-image model, an example of a network trained with a generative objective. Since its inception, the field of machine learning used both discriminative models and generative models, to model and predict data.
This is an accepted version of this page This is the latest accepted revision, reviewed on 21 February 2025. Cloud-based presentation software Google Slides An example of a Google Slides presentation Developer(s) Google LLC Initial release March 9, 2006 ; 18 years ago (2006-03-09) Stable release(s) Android 1.25.082.01 / 26 February 2025 ; 2 days ago (2025-02-26) iOS 1.2025.08202 / 24 February ...
Microsoft PowerPoint and Google Slides are effective tools to develop slides, both Google Slides and Microsoft PowerPoint allows groups to work together online to update each account as it is edited. Content such as text, images, links, and effects are added into each of the presentation programs to deliver useful, consolidated information to a ...
An early example is Grimes' Fairy Tales, the "first to take a grammar-based approach and the first to operationalize Propp's famous model." [6] Mike Sharples and Rafael Peréz y Peréz's book Story Machines gives a detailed history of story generation. [7] Storyland by Nanette Wylde is an example of generative
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Image collection summarization is another application example of automatic summarization. It consists in selecting a representative set of images from a larger set of images. [13] A summary in this context is useful to show the most representative images of results in an image collection exploration system. Video summarization is a related ...
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