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    com/tensorflow/tensorflow/tensorflow/go - pkg.go.dev". pkg.go.dev. Archived from the original on November 6, 2021. Retrieved November 6, 2021. "Swift for TensorFlow...
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  • and TensorFlow. Computations are often performed on graphics processing units (GPUs) using CUDA and on dedicated hardware such as Google's Tensor Processing...
    28 KB (3,646 words) - 20:52, 9 September 2024
  • Thumbnail for Tensor Processing Unit
    developed by Google for neural network machine learning, using Google's own TensorFlow software. Google began using TPUs internally in 2015, and in 2018 made...
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  • Thumbnail for Jeff Dean
    system for deep neural networks that was eventually refactored into TensorFlow TensorFlow, an open-source machine-learning software library He was an early...
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  • framework within TensorFlow, a popular machine learning library developed by Google. XLA is designed to improve the performance of TensorFlow models by optimizing...
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    ocs/notebooks/quickstart.ipynb TensorFlow's XLAː www.tensorflow.org/xla (Accelerated Linear Algebra) YouTube TensorFlow Channel "Intro to JAX: Accelerating...
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  • to create the sequence-to-sequence learning algorithm, and worked on TensorFlow. He is also one of the AlphaGo paper's many co-authors. At the end of...
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    networks. Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras...
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  • September 2023). "tensorflow: R Interface to 'TensorFlow'". The Comprehensive R Archive Network. Retrieved 30 October 2023. "tensorflow/roadmap.md at master"...
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  • TensorFlow 1.7.0. Both the TPU and GPU implementations make use of mixed-precision computation on the respective architecture and store most tensors with...
    30 KB (1,800 words) - 11:33, 12 August 2024
  • Thumbnail for Google Tensor
    due to cost-cutting measures. "Tensor" is a reference to Google's TensorFlow and Tensor Processing Unit technologies, and the chip is developed by the Google...
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  • systems and large-scale computing resources. It created tools such as TensorFlow, which allow neural networks to be used by the public, and multiple internal...
    36 KB (3,835 words) - 10:39, 2 September 2024
  • recognized as one of the two most popular machine learning libraries alongside TensorFlow, offering free and open-source software released under the modified BSD...
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    The latest releases also have packages that allow for easy setup for TensorFlow and CUDA. Pop!_OS is maintained primarily by System76, with the release...
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  • 17, 2017. TensorFlow (April 11, 2018). "Introducing TensorFlow Probability". TensorFlow. Retrieved October 2, 2018. "'Edward2' TensorFlow Probability...
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  • networks are available, such as PyTorch Geometric (PyTorch), TensorFlow GNN (TensorFlow), jraph (Google JAX), and GraphNeuralNetworks.jl/GeometricFlux...
    35 KB (3,970 words) - 20:48, 9 September 2024
  • Because of this, a user with a working installation of, for example, TensorFlow, could find that it stopped working having used pip to install a different...
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  • quantum simulation algorithms to Cirq. TensorFlow Quantum is an extension of TensorFlow that allows TensorFlow to be used to explore hybrid classical-quantum...
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    deep learning frameworks such XGBoost, LightGBM, PyTorch, Keras, and TensorFlow through scikit-learn compatible wrappers. Selected scikit-learn estimators...
    32 KB (3,043 words) - 23:26, 29 August 2024
  • ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX. The library NumPy can be used for manipulating arrays...
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    Rajat; et al. (9 November 2015). "TensorFlow: Large-scale machine learning on heterogeneous systems" (PDF). TensorFlow.org. Google Research. Archived (PDF)...
    161 KB (13,328 words) - 06:57, 9 September 2024
  • control flow and data structures in the program. Attempts generally fall into two groups: Static, compiled graph-based approaches such as TensorFlow, Theano...
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  • train on their own data. The platform also features managed instances of TensorFlow and Apache MXNet, where developers can create their own ML algorithms...
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  • Thumbnail for SpaCy
    statistical models trained by popular machine learning libraries like TensorFlow, PyTorch or MXNet through its own machine learning library Thinc. Using...
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  • some Google Pixel smartphones TensorFlow, a technology developed by Google Tensor Trucks, a skateboarding truck company Tensor lamp, a trademarked brand of...
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  • software that can perform AI-powered image compression include OpenCV, TensorFlow, MATLAB's Image Processing Toolbox (IPT) and High-Fidelity Generative...
    135 KB (14,773 words) - 14:50, 7 September 2024
  • 2022. "TensorFlow – Google.ai". Google.ai. Archived from the original on July 19, 2023. Retrieved May 21, 2017. "Magenta". Magenta.tensorflow.org. Archived...
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    (YouTube TV), AI (Google Assistant & Gemini), machine learning APIs (TensorFlow), AI chips (TPU), and more. Discontinued Google products include gaming...
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  • Polymer Protocol Buffers Reqwireless Shell Skia Graphics Engine Tango TensorFlow Test WaveNet Weave Web Accelerator WebRTC Platforms Tools American Fuzzy...
    10 KB (759 words) - 09:25, 9 September 2024
  • 2018-04-07. "CoreML". Apple. Retrieved 2018-04-10. Poster, Domenick. "Tensorflow implementation of SqueezeNet". GitHub. Retrieved 2018-05-12. Inkawhich...
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