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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. 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.

  5. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [1] [2] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain. Artificial ...

  6. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    Thus to compare residuals at different inputs, one needs to adjust the residuals by the expected variability of residuals, which is called studentizing. This is particularly important in the case of detecting outliers, where the case in question is somehow different from the others in a dataset. For example, a large residual may be expected in ...

  7. Lawyer helping RFK Jr. hire health staff petitioned FDA to ...

    www.aol.com/news/rfk-jr-lawyer-petitioned...

    The lawyer helping RFK Jr. pick federal health officials for the Trump administration has a history of suing the government agencies that the cabinet pick will oversee.

  8. Jürgen Schmidhuber - Wikipedia

    en.wikipedia.org/wiki/Jürgen_Schmidhuber

    In May 2015, Rupesh Kumar Srivastava, Klaus Greff, and Schmidhuber used LSTM principles to create the highway network, a feedforward neural network with hundreds of layers, much deeper than previous networks. [8] [31] [32] In Dec 2015, the residual neural network (ResNet) was published, which is a variant of the highway network. [30] [33]

  9. Tips pour in over 5,000 drone sightings. Reason to worry ...

    www.aol.com/tips-pour-over-5-000-131033198.html

    Editor's Note: This page is a summary of news on drone sightings for Tuesday, Dec. 17. For the latest news, view our story for Wednesday, Dec. 18. The FBI has received tips involving over 5,000 ...