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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

    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 ] Early life and education

  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. Amid growing anxieties surrounding reported drone sightings, the FBI has issued a warning against a new trend of pointing lasers at aircrafts.

  8. Activation function - Wikipedia

    en.wikipedia.org/wiki/Activation_function

    Modern activation functions include the smooth version of the ReLU, the GELU, which was used in the 2018 BERT model, [2] the logistic function used in the 2012 speech recognition model developed by Hinton et al, [3] the ReLU used in the 2012 AlexNet computer vision model [4] [5] and in the 2015 ResNet model.

  9. 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 ...