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  2. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow.nn is a module for executing primitive neural network operations on models. [ 38] 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.).

  3. Google Brain - Wikipedia

    en.wikipedia.org/wiki/Google_Brain

    Google Brain was a deep learning artificial intelligence research team under the umbrella of Google AI, a research division at Google dedicated to artificial intelligence. Formed in 2011, it combined open-ended machine learning research with information systems and large-scale computing resources. [ 1] It created tools such as TensorFlow, which ...

  4. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    Neural network. Machine learning. Tensor Processing Unit ( TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [ 2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of ...

  5. Time delay neural network - Wikipedia

    en.wikipedia.org/wiki/Time_delay_neural_network

    TDNN diagram. Time delay neural network ( TDNN) [ 1] is a multilayer artificial neural network architecture whose purpose is to 1) classify patterns with shift-invariance, and 2) model context at each layer of the network. Shift-invariant classification means that the classifier does not require explicit segmentation prior to classification.

  6. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (originally Compute Unified Device Architecture) is a proprietary [ 1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs ( GPGPU ).

  7. List of Rockchip products - Wikipedia

    en.wikipedia.org/wiki/List_of_Rockchip_products

    Support 2x8ch I2S/TDM, 1x8ch PDM, 1x2ch I2S/PCM. Support SPDIF IN/OUT, HDMI ARC. SDIO 3.0, USB 2.0 OTG, USB 2.0 Host, I2C, UART, SPI, I2S. RV1108. The announcement of RV1108 indicated Rockchip's moves to AI/computer vision territory. With CEVA DSP embedded, RV1108 powers smart cameras including 360° Video Camera, [ 7] IPC, Drone, Car Camcoder ...

  8. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Machine learningand data mining. These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning ), computer hardware, and, less ...

  9. Comment (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Comment_(computer_programming)

    Comment (computer programming) An illustration of Java source code with prologue comments indicated in red and inline comments in green. Program code is in blue. In computer programming, a comment is a programmer-readable explanation or annotation in the source code of a computer program. They are added with the purpose of making the source ...