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  2. Layer (deep learning) - Wikipedia

    en.wikipedia.org/wiki/Layer_(Deep_Learning)

    The Pooling layer [5] is used to reduce the size of data input. The Recurrent layer is used for text processing with a memory function. Similar to the Convolutional layer, the output of recurrent layers are usually fed into a fully-connected layer for further processing. See also: RNN model. [6] [7] [8] The Normalization layer adjusts the ...

  3. Transformer (deep learning architecture) - Wikipedia

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

    The number of neurons in the middle layer is called intermediate size (GPT), [56] filter size (BERT), [36] or feedforward size (BERT). [36] It is typically larger than the embedding size. For example, in both GPT-2 series and BERT series, the intermediate size of a model is 4 times its embedding size: =.

  4. VGA text mode - Wikipedia

    en.wikipedia.org/wiki/VGA_text_mode

    From the monitor's side, there is no difference in input signal in a text mode and an All Points Addressable (APA) mode of the same size. A text mode signal may have the same timings as VESA standard modes. The same registers are used on adapter's side to set up these parameters in a text mode as in APA modes.

  5. Pooling layer - Wikipedia

    en.wikipedia.org/wiki/Pooling_layer

    In neural networks, a pooling layer is a kind of network layer that downsamples and aggregates information that is dispersed among many vectors into fewer vectors. [1] It has several uses. It removes redundant information, reducing the amount of computation and memory required, makes the model more robust to small variations in the input, and ...

  6. Graph neural network - Wikipedia

    en.wikipedia.org/wiki/Graph_neural_network

    A convolutional neural network layer, in the context of computer vision, can be considered a GNN applied to graphs whose nodes are pixels and only adjacent pixels are connected by edges in the graph. A transformer layer, in natural language processing , can be considered a GNN applied to complete graphs whose nodes are words or tokens in a ...

  7. Graphics pipeline - Wikipedia

    en.wikipedia.org/wiki/Graphics_pipeline

    The computer graphics pipeline, also known as the rendering pipeline, or graphics pipeline, is a framework within computer graphics that outlines the necessary procedures for transforming a three-dimensional (3D) scene into a two-dimensional (2D) representation on a screen. [1]

  8. IBM 5151 - Wikipedia

    en.wikipedia.org/wiki/IBM_5151

    The monitor has an 11.5-inch wide CRT (measured diagonally) with 90 degree deflection, etched to reduce glare, with a resolution of 350 horizontal lines and a 50 Hz refresh rate. [ 3 ] [ 4 ] [ 6 ] It uses TTL digital inputs through a 9-pin D-shell connector, being able to display at least three brightness levels, according to the different pin ...

  9. Model–view–presenter - Wikipedia

    en.wikipedia.org/wiki/Model–view–presenter

    The model is an interface defining the data to be displayed or otherwise acted upon in the user interface. The view is a passive interface that displays data (the model) and routes user commands to the presenter to act upon that data. The presenter acts upon the model and the view. It retrieves data from repositories (the model), and formats it ...