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  2. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    A residual neural network (also referred to as a residual network or ResNet) [1] is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs. It was developed in 2015 for image recognition , and won the ImageNet Large Scale Visual Recognition Challenge ( ILSVRC ) of that year.

  3. Kaiming He - Wikipedia

    en.wikipedia.org/wiki/Kaiming_He

    He is an associate professor at Massachusetts Institute of Technology and is known as one of the creators of residual neural network (ResNet). [1] [3]

  4. Inception (deep learning architecture) - Wikipedia

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

    Inception v4 is an incremental update with even more factorized convolutions, and other complications that were empirically found to improve benchmarks. Inception ResNet v1 and v2 are both modifications of Inception v4, where residual connections are added to each Inception module, inspired by the ResNet architecture.

  5. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  6. Vanishing gradient problem - Wikipedia

    en.wikipedia.org/wiki/Vanishing_gradient_problem

    Residual connections, or skip connections, refers to the architectural motif of +, where is an arbitrary neural network module. This gives the gradient of ∇ f + I {\displaystyle \nabla f+I} , where the identity matrix do not suffer from the vanishing or exploding gradient.

  7. Gradient boosting - Wikipedia

    en.wikipedia.org/wiki/Gradient_boosting

    Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as in traditional boosting. It gives a prediction model in the form of an ensemble of weak prediction models, i.e., models that make very few assumptions about the data, which are typically simple ...

  8. What’s next for Infowars - AOL

    www.aol.com/finance/next-infowars-100042853.html

    Alex Jones’ control of Infowars has lived on another day, although the long-term future of the site, known for peddling conspiracy theories, has been thrown into doubt after a bankruptcy judge ...

  9. Roblox - Wikipedia

    en.wikipedia.org/wiki/ROBLOX

    Roblox occasionally hosts real-life and virtual events. They have in the past hosted events such as BloxCon, which was a convention for ordinary players on the platform. [45] Roblox operates annual Easter egg hunts [51] and also hosts an annual event called the "Bloxy Awards", an awards ceremony that also functions as a fundraiser. The 2020 ...