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  2. Inception (deep learning architecture) - Wikipedia

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

    In 2017, the team released Inception v4, Inception ResNet v1, and Inception ResNet v2. [10] 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 ...

  3. 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.

  4. Vision transformer - Wikipedia

    en.wikipedia.org/wiki/Vision_transformer

    Well-known projects include Xception, ResNet, EfficientNet, [15] DenseNet, [16] and Inception. [17] Transformers measure the relationships between pairs of input tokens (words in the case of text strings), termed attention. The cost is quadratic in the number of tokens. For images, the basic unit of analysis is the pixel. However, computing ...

  5. 9 Delicious Foods New Englanders Eat on Christmas - AOL

    www.aol.com/9-delicious-foods-englanders-eat...

    2. New England Corn Pudding. This dish walks the line between rustic and elegant — just like New England itself. The New England holiday staple works as a great side with glazed ham, and is made ...

  6. Dermatologists Say These Skincare Tricks Could Reverse Aging ...

    www.aol.com/baby-grabbed-handful-loose-neck...

    "Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." If the eyes are the windows to the soul, then the neck may very well be the window to your true age.

  7. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    AlexNet contains eight layers: the first five are convolutional layers, some of them followed by max-pooling layers, and the last three are fully connected layers. The network, except the last layer, is split into two copies, each run on one GPU. [1]

  8. 10 Genius Things Productivity Coaches Do Every Day - AOL

    www.aol.com/10-genius-things-productivity...

    Plus, you can avoid having to muster up a lot of activation energy to just get going in the morning. This is because you'll already have a prioritized list of what you plan to accomplish.

  9. Fréchet inception distance - Wikipedia

    en.wikipedia.org/wiki/Fréchet_inception_distance

    The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) [1] or a diffusion model. [ 2 ] [ 3 ] The FID compares the distribution of generated images with the distribution of a set of real images (a "ground truth" set).