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  2. Inception (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Inception_(deep_learning...

    They also called it "Inception" after a "we need to go deeper" internet meme, a phrase from Inception the film. [1] Because later, more versions were released, the original Inception architecture was renamed again as "Inception v1". The models and the code were released under Apache 2.0 license on GitHub. [4] An individual Inception module.

  3. Fréchet inception distance - Wikipedia

    en.wikipedia.org/wiki/Fréchet_inception_distance

    The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) [1] or a diffusion model. [ 2 ] [ 3 ] The FID compares the distribution of generated images with the distribution of a set of real images (a "ground truth" set).

  4. List of common 3D test models - Wikipedia

    en.wikipedia.org/wiki/List_of_common_3D_test_models

    3DModels, a collection of vehicle 3D models; 3DBar, a collection of free 3D models; NASA 3D Models, NASA 3D models to use for educational or informational purposes; VRML Models from ORC Incorporated, 3D models in VRML format; 3dRender.com: Lighting Challenges, regularly held lighting challenges, complete with scene and models for each challenge

  5. Inception score - Wikipedia

    en.wikipedia.org/wiki/Inception_score

    The Inception Score (IS) is an algorithm used to assess the quality of images created by a generative image model such as a generative adversarial network (GAN). [1] The score is calculated based on the output of a separate, pretrained Inception v3 image classification model applied to a sample of (typically around 30,000) images generated by the generative model.

  6. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  7. DeepDream - Wikipedia

    en.wikipedia.org/wiki/DeepDream

    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.

  8. Caitlin Clark joins bid group for new Cincinnati NWSL ...

    www.aol.com/caitlin-clark-joins-bid-group...

    WNBA star Caitlin Clark has joined an ownership group that is bidding to bring a National Women’s Soccer League (NWSL) team to Cincinnati.. Cincinnati is one of a number of cities looking to ...

  9. Model-free (reinforcement learning) - Wikipedia

    en.wikipedia.org/wiki/Model-free_(reinforcement...

    Model-free RL algorithms can start from a blank policy candidate and achieve superhuman performance in many complex tasks, including Atari games, StarCraft and Go.Deep neural networks are responsible for recent artificial intelligence breakthroughs, and they can be combined with RL to create superhuman agents such as Google DeepMind's AlphaGo.