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  2. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    A basic block is the simplest building block studied in the original ResNet. [1] This block consists of two sequential 3x3 convolutional layers and a residual connection. The input and output dimensions of both layers are equal. Block diagram of ResNet (2015). It shows a ResNet block with and without the 1x1 convolution.

  3. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    AlexNet block diagram. AlexNet is a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey Hinton, who was Krizhevsky's Ph.D. advisor at the University of Toronto in 2012. It had 60 million parameters and 650,000 neurons. [1]

  4. Block diagram - Wikipedia

    en.wikipedia.org/wiki/Block_diagram

    An example block diagram, showing the Microsoft Windows 2000 operating system architecture. A block diagram is a diagram of a system in which the principal parts or functions are represented by blocks connected by lines that show the relationships of the blocks. [1]

  5. Transformer (deep learning architecture) - Wikipedia

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

    Multiheaded attention, block diagram Exact dimension counts within a multiheaded attention module. One set of (,,) matrices is called an attention head, and each layer in a transformer model has multiple attention heads. While each attention head attends to the tokens that are relevant to each token, multiple attention heads allow the model to ...

  6. Latent diffusion model - Wikipedia

    en.wikipedia.org/wiki/Latent_Diffusion_Model

    Block diagram for the full Transformer architecture. The stack on the right is a standard pre-LN Transformer decoder, which is essentially the same as the SpatialTransformer. Similar to the standard U-Net, the U-Net backbone used in the SD 1.5 is essentially composed of down-scaling layers followed by up-scaling layers. However, the UNet ...

  7. Gated recurrent unit - Wikipedia

    en.wikipedia.org/wiki/Gated_recurrent_unit

    Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks, introduced in 2014 by Kyunghyun Cho et al. [1] The GRU is like a long short-term memory (LSTM) with a gating mechanism to input or forget certain features, [2] but lacks a context vector or output gate, resulting in fewer parameters than LSTM. [3]

  8. Functional block diagram - Wikipedia

    en.wikipedia.org/wiki/Functional_block_diagram

    A functional block diagram, in systems engineering and software engineering, is a block diagram that describes the functions and interrelationships of a system. The functional block diagram can picture: [1] functions of a system pictured by blocks; input and output elements of a block pictured with lines; the relationships between the functions ...

  9. Functional flow block diagram - Wikipedia

    en.wikipedia.org/wiki/Functional_flow_block_diagram

    Figure 1: Functional flow block diagram format. [1] A functional flow block diagram (FFBD) is a multi-tier, time-sequenced, step-by-step flow diagram of a system's functional flow. [2] The term "functional" in this context is different from its use in functional programming or in mathematics, where pairing "functional" with "flow" would be ...