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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. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    A convolutional neural network (CNN, or ConvNet or shift invariant or space invariant) is a class of deep network, composed of one or more convolutional layers with fully connected layers (matching those in typical ANNs) on top. [17] [18] It uses tied weights and pooling layers. In particular, max-pooling. [19]

  5. Neural network (machine learning) - Wikipedia

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

    Typically, neurons are aggregated into layers. Different layers may perform different transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly passing through multiple intermediate layers (hidden layers). A network is typically called a deep neural network if it has at ...

  6. LeNet - Wikipedia

    en.wikipedia.org/wiki/LeNet

    LeNet-4 was a larger version of LeNet-1 designed to fit the larger MNIST database. It had more feature maps in its convolutional layers, and had an additional layer of hidden units, fully connected to both the last convolutional layer and to the output units. It has 2 convolutions, 2 average poolings, and 2 fully connected layers.

  7. Los Angeles fires: NFL moves Vikings-Rams wild-card game to ...

    www.aol.com/sports/los-angeles-fires-nfl-moves...

    The NFL is the latest league having to make adjustments around the fires ravaging Los Angeles. (Myung J. Chun / Los Angeles Times via Getty Images) (Myung J. Chun via Getty Images)

  8. 51 'Mr. Everymans' were found guilty of rape. How Gisele ...

    www.aol.com/news/51-mr-everymans-were-found...

    The French rape trial that shocked the world and sparked widespread calls for justice for women rape victims ended on Thursday with the conviction of 51 men for raping and attempting to rape ...

  9. Rainn Wilson is doing some reflecting after losing a large portion of his home in a mountain fire.. The actor and podcast host, 58, first announced that he and wife Holiday Reinhorn’s California ...