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DALL·E, DALL·E 2, and DALL·E 3 are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released. DALL·E 3 was released natively ...
DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream -like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images.
DreamBooth is a deep learning generation model used to personalize existing text-to-image models by fine-tuning. It was developed by researchers from Google Research and Boston University in 2022. Originally developed using Google's own Imagen text-to-image model, DreamBooth implementations can be applied to other text-to-image models, where it ...
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The neural algorithm is used by the Deep Art website to create a representation of an image provided by the user by using the 'style' of another image provided by the user. A similar program, Prisma, is an iOS and Android app that was based on the open source programming that underlies DeepArt. See also
Features HAL 9000, known for his sinister robotic voice, is one of the available characters on 15.ai.. Available characters include GLaDOS and Wheatley from Portal, characters from Team Fortress 2, Twilight Sparkle and a number of main, secondary, and supporting characters from My Little Pony: Friendship Is Magic, SpongeBob from SpongeBob SquarePants, Daria Morgendorffer and Jane Lane from ...
Deep models (CAP > 2) are able to extract better features than shallow models and hence, extra layers help in learning the features effectively. Deep learning architectures can be constructed with a greedy layer-by-layer method. Deep learning helps to disentangle these abstractions and pick out which features improve performance.
A rebus made up solely of letters (such as "CU" for "See you") is known as a gramogram, grammagram, or letteral word. This concept is sometimes extended to include numbers (as in "Q8" for "Kuwait", or "8" for "ate"). [3] Rebuses are sometimes used in crossword puzzles, with multiple letters or a symbol fitting into a single square.
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