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  2. Convolutional layer - Wikipedia

    en.wikipedia.org/wiki/Convolutional_layer

    In artificial neural networks, a convolutional layer is a type of network layer that applies a convolution operation to the input. Convolutional layers are some of the primary building blocks of convolutional neural networks (CNNs), a class of neural network most commonly applied to images, video, audio, and other data that have the property of uniform translational symmetry.

  3. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]

  4. Capsule neural network - Wikipedia

    en.wikipedia.org/wiki/Capsule_neural_network

    The structure in layer I and II is somewhat similar to the cerebral cortex if stellate cells are assumed to be involved in transposing input vectors. Whether both types of stellate cells have the same function is not clear, as layer I has excitatory spiny cells and layer II has inhibitory aspiny cells. The latter indicates a much different network.

  5. LeNet - Wikipedia

    en.wikipedia.org/wiki/LeNet

    LeNet-5 architecture (overview). LeNet is a series of convolutional neural network structure proposed by LeCun et al.. [1] The earliest version, LeNet-1, was trained in 1989.In general, when "LeNet" is referred to without a number, it refers to LeNet-5 (1998), the most well-known version.

  6. NYT ‘Connections’ Hints and Answers Today, Wednesday, December 11

    www.aol.com/nyt-connections-hints-answers-today...

    Spoilers ahead! We've warned you. We mean it. Read no further until you really want some clues or you've completely given up and want the answers ASAP. Get ready for all of today's NYT ...

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  8. Golden State Warriors head coach Steve Kerr was furious about a foul call made in the final 3.5 seconds of Wednesday's 91-90 defeat to the Houston Rockets that turned out to be the difference in ...

  9. What Is "Food Noise" & How to Safely Stop It - AOL

    www.aol.com/food-noise-safely-stop-125700076.html

    3. Speak to a Therapist. Food noise doesn’t just affect your physical health — you may find it affects your mental health too. If you’re experiencing symptoms of anxiety or depression — or ...

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