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  2. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    Self-contained DNN Model Pre-processing and Post-processing Run-time configuration for tuning & calibration DNN model interconnect Common platform TensorFlow, Keras, Caffe, Torch: Algorithm training No No / Separate files in most formats No No No Yes ONNX: Algorithm training Yes No / Separate files in most formats No No No Yes

  3. HTTP persistent connection - Wikipedia

    en.wikipedia.org/wiki/HTTP_persistent_connection

    Under HTTP 1.0, connections should always be closed by the server after sending the response. [1]Since at least late 1995, [2] developers of popular products (browsers, web servers, etc.) using HTTP/1.0, started to add an unofficial extension (to the protocol) named "keep-alive" in order to allow the reuse of a connection for multiple requests/responses.

  4. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow.nn is a module for executing primitive neural network operations on models. [40] Some of these operations include variations of convolutions (1/2/3D, Atrous, depthwise), activation functions ( Softmax , RELU , GELU, Sigmoid , etc.) and their variations, and other operations ( max-pooling , bias-add, etc.).

  5. Recursive Internetwork Architecture - Wikipedia

    en.wikipedia.org/wiki/Recursive_InterNetwork...

    The starting point for a radically new and different network architecture like RINA is an attempt to solve or a response to the following problems which do not appear to have practical or compromise-free solutions with current network architectures, especially the Internet protocol suite and its functional layering as depicted in Figure 6 ...

  6. Configuration model - Wikipedia

    en.wikipedia.org/wiki/Configuration_model

    In network science, the Configuration Model is a family of random graph models designed to generate networks from a given degree sequence. Unlike simpler models such as the ErdÅ‘s–Rényi model, Configuration Models preserve the degree of each vertex as a pre-defined property. This flexibility allows the modeler to construct networks with ...

  7. Recursive neural network - Wikipedia

    en.wikipedia.org/wiki/Recursive_neural_network

    A recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce a structured prediction over variable-size input structures, or a scalar prediction on it, by traversing a given structure in topological order.

  8. FreeBSD Ports - Wikipedia

    en.wikipedia.org/wiki/FreeBSD_Ports

    Historically, each port (or software package) has been maintained by an individual port maintainer who is responsible for ensuring the currency of the port and providing general support. Today, many ports are maintained by special task forces or sub-projects, each with a dedicated mailing list (e.g. kde@FreeBSD.org, java@FreeBSD.org, etc ...

  9. Wikipedia : Using neural network language models on Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Using_neural...

    Its neural model will likely respond with very persuasive looking citations, but they generally should not be relied upon without detailed examination. Sometimes, the bot will list a real author along with a fictitious article or book title that looks authentic but is not, and sometimes both the author and the title are invented.