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  2. Normalization (machine learning) - Wikipedia

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

    Weight normalization (WeightNorm) [18] is a technique inspired by BatchNorm that normalizes weight matrices in a neural network, rather than its activations. One example is spectral normalization , which divides weight matrices by their spectral norm .

  3. Batch normalization - Wikipedia

    en.wikipedia.org/wiki/Batch_normalization

    Another possible reason for the success of batch normalization is that it decouples the length and direction of the weight vectors and thus facilitates better training. By interpreting batch norm as a reparametrization of weight space, it can be shown that the length and the direction of the weights are separated and can thus be trained separately.

  4. Flow-based generative model - Wikipedia

    en.wikipedia.org/wiki/Flow-based_generative_model

    A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.

  5. Vanishing gradient problem - Wikipedia

    en.wikipedia.org/wiki/Vanishing_gradient_problem

    Weight initialization [ edit ] Kumar suggested that the distribution of initial weights should vary according to activation function used and proposed to initialize the weights in networks with the logistic activation function using a Gaussian distribution with a zero mean and a standard deviation of 3.6/sqrt(N) , where N is the number of ...

  6. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    Examples include: [17] [18] Lang and Witbrock (1988) [19] trained a fully connected feedforward network where each layer skip-connects to all subsequent layers, like the later DenseNet (2016). In this work, the residual connection was the form x ↦ F ( x ) + P ( x ) {\displaystyle x\mapsto F(x)+P(x)} , where P {\displaystyle P} is a randomly ...

  7. Hidden Uses for Common Household Products Most People Don't ...

    www.aol.com/finance/hidden-uses-common-household...

    1. Tennis Ball. Tennis balls are so useful that you may want to buy some to keep around the house even if you don’t play. For example, half a tennis ball can help screw open tight caps.

  8. Multiplicative weight update method - Wikipedia

    en.wikipedia.org/wiki/Multiplicative_Weight...

    The aim is to find non-negative weights such that for all examples, the sign of the weighted combination of the features matches its labels. That is, require that for all . Without loss of generality, assume the total weight is 1 so that they form a distribution.

  9. Is your dog a diva? Check out our list of high-maintenance ...

    www.aol.com/dog-diva-check-list-high-103000360.html

    A hairdo like the Komondor’s comes with a considerable grooming burden. Their long, corded coats require regular grooming, and every so often the coat clumps up and needs time-consuming separation.