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  2. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    A basic block is the simplest building block studied in the original ResNet. [1] This block consists of two sequential 3x3 convolutional layers and a residual connection. The input and output dimensions of both layers are equal. Block diagram of ResNet (2015). It shows a ResNet block with and without the 1x1 convolution.

  3. Leela Zero - Wikipedia

    en.wikipedia.org/wiki/Leela_Zero

    The body is a ResNet with 40 residual blocks and 256 channels. There are two heads, a policy head and a value head. Policy head outputs a logit array of size 19 × 19 + 1 {\displaystyle 19\times 19+1} , representing the logit of making a move in one of the points, plus the logit of passing .

  4. AlphaGo Zero - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_Zero

    The body is a ResNet with either 20 or 40 residual blocks and 256 channels. There are two heads, a policy head and a value head. Policy head outputs a logit array of size 19 × 19 + 1 {\displaystyle 19\times 19+1} , representing the logit of making a move in one of the points, plus the logit of passing .

  5. Kaiming He - Wikipedia

    en.wikipedia.org/wiki/Kaiming_He

    Download as PDF; Printable version ... at Massachusetts Institute of Technology and is known as one of the creators of residual neural network (ResNet). [1] [3 ...

  6. VGGNet - Wikipedia

    en.wikipedia.org/wiki/VGG-19

    It was also instrumental in changing the standard convolutional kernels in CNN from large (up to 11-by-11 in AlexNet) to just 3-by-3, a decision that was only revised in ConvNext (2022). [6] [7] VGGNets were mostly obsoleted by Inception, ResNet, and DenseNet. RepVGG (2021) is an updated version of the architecture. [8]

  7. 7 Dow Jones Dividend Stocks that Underperformed the S&P 500 ...

    www.aol.com/7-dow-jones-dividend-stocks...

    The Dow Jones Industrial Average is chock-full of industry-leading blue chip stocks-- many of which pay dividends.But the Dow tends to underperform the S&P 500 during growth-driven rallies when ...

  8. Universal approximation theorem - Wikipedia

    en.wikipedia.org/wiki/Universal_approximation...

    For example, the step function works. In particular, this shows that a perceptron network with a single infinitely wide hidden layer can approximate arbitrary functions. Such an f {\displaystyle f} can also be approximated by a network of greater depth by using the same construction for the first layer and approximating the identity function ...

  9. Woman Scores Surprise Kitten at Taco Bell & Gives Him Most ...

    www.aol.com/woman-scores-surprise-kitten-taco...

    It can be really heartbreaking to find a stray. Anything could happen to them! And while you might not be able to save every stray you find, sometimes the only thing you can do is make sure they ...