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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 fully connected layer for an image of size 100 × 100 has 10,000 weights for each neuron in the second layer. Convolution reduces the number of free parameters, allowing the network to be deeper. [6] For example, using a 5 × 5 tiling region, each with the same shared weights, requires only 25 neurons.

  4. JavaScript graphics library - Wikipedia

    en.wikipedia.org/wiki/JavaScript_graphics_library

    A JavaScript graphics library is a JavaScript library used to aid in the creation of graphics for either the HTML5 canvas element or SVG. Such a library eases the development and display of graphic elements like particles, motion, animation, plotting, and 3D graphics.

  5. Convolution - Wikipedia

    en.wikipedia.org/wiki/Convolution

    In digital image processing convolutional filtering plays an important role in many important algorithms in edge detection and related processes (see Kernel (image processing)) In optics , an out-of-focus photograph is a convolution of the sharp image with a lens function.

  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. Vision transformer - Wikipedia

    en.wikipedia.org/wiki/Vision_transformer

    The architecture of vision transformer. An input image is divided into patches, each of which is linearly mapped through a patch embedding layer, before entering a standard Transformer encoder. A vision transformer (ViT) is a transformer designed for computer vision. [1]

  8. Comparison of JavaScript charting libraries - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_JavaScript...

    HTML 5 Canvas Line Timeline Scatter Area Pie Donut Bullet Radar Funnel Gantt Network Grouped Mind Mapping Stacked Negative Discrete Horizontal 3D Legends Animation Mouse Over onClick HTML5 Canvas SVG VML AxisXY WebGL rendering; AG Charts: MIT Free [1] or commercial [2] Yes [3] Yes [4] Yes [5] Yes [6] Yes [7] Yes [8] Yes [9] Yes [10] Yes [11 ...

  9. WebGL - Wikipedia

    en.wikipedia.org/wiki/WebGL

    WebGL (short for Web Graphics Library) is a JavaScript API for rendering interactive 2D and 3D graphics within any compatible web browser without the use of plug-ins. [2] WebGL is fully integrated with other web standards, allowing GPU-accelerated usage of physics, image processing, and effects in the HTML canvas. WebGL elements can be mixed ...