List of datasets in computer vision and image processing
Outline of machine learning
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TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.[3][4]
It was developed by the Google Brain team for Google's internal use in research and production.[5][6][7] The initial version was released under the Apache License 2.0 in 2015.[1][8] Google released an updated version, TensorFlow 2.0, in September 2019.[9]
TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java,[10] facilitating its use in a range of applications in many sectors.
^ ab"Credits". TensorFlow.org. Retrieved November 10, 2015.
^"TensorFlow.js". Retrieved June 28, 2018.
^Abadi, Martín; Barham, Paul; Chen, Jianmin; Chen, Zhifeng; Davis, Andy; Dean, Jeffrey; Devin, Matthieu; Ghemawat, Sanjay; Irving, Geoffrey; Isard, Michael; Kudlur, Manjunath; Levenberg, Josh; Monga, Rajat; Moore, Sherry; Murray, Derek G.; Steiner, Benoit; Tucker, Paul; Vasudevan, Vijay; Warden, Pete; Wicke, Martin; Yu, Yuan; Zheng, Xiaoqiang (2016). TensorFlow: A System for Large-Scale Machine Learning(PDF). Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16). arXiv:1605.08695.
^TensorFlow: Open source machine learning. Google. 2015. Archived from the original on November 11, 2021. "It is machine learning software being used for various kinds of perceptual and language understanding tasks" – Jeffrey Dean, minute 0:47 / 2:17 from YouTube clip
^Video clip by Google about TensorFlow 2015 at minute 0:15/2:17
^Video clip by Google about TensorFlow 2015 at minute 0:26/2:17
^Dean et al 2015, p. 2
^Metz, Cade (November 9, 2015). "Google Just Open Sourced TensorFlow, Its Artificial Intelligence Engine". Wired. Retrieved November 10, 2015.
^Cite error: The named reference :12 was invoked but never defined (see the help page).
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...
framework within TensorFlow, a popular machine learning library developed by Google. XLA is designed to improve the performance of TensorFlow models by optimizing...
September 2023). "tensorflow: R Interface to 'TensorFlow'". The Comprehensive R Archive Network. Retrieved 30 October 2023. "tensorflow/roadmap.md at master...
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...
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...
automatically before inference. The supported model formats are: PyTorch TensorFlowTensorFlow Lite ONNX (including formats that may be serialized to ONNX) PaddlePaddle...
system for deep neural networks that was eventually refactored into TensorFlowTensorFlow, an open-source machine-learning software library He was an early...
interface for artificial neural networks. Keras acts as an interface for the TensorFlow library.[citation needed] The name 'Keras' derives from the Ancient Greek...
networks are available, such as PyTorch Geometric (PyTorch), TensorFlow GNN (TensorFlow), jraph (Google JAX), and GraphNeuralNetworks.jl/GeometricFlux...
control flow and data structures in the program. Attempts generally fall into two groups: Static, compiled graph-based approaches such as TensorFlow, Theano...
recognized as one of the two most popular machine learning libraries alongside TensorFlow, offering free and open-source software released under the modified BSD...
ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX. The library NumPy can be used for manipulating arrays...
quantum simulation algorithms to Cirq. TensorFlow Quantum is an extension of TensorFlow that allows TensorFlow to be used to explore hybrid classical-quantum...
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...
statistical models trained by popular machine learning libraries like TensorFlow, PyTorch or MXNet through its own machine learning library Thinc. Using...
Projects with TensorFlow. Packt Publishing. pp. Chapter 2. ISBN 9781788834544. Karim and Zaccone (March 2018). Deep Learning with TensorFlow. Packt Publishing...
software that can perform AI-powered image compression include OpenCV, TensorFlow, MATLAB's Image Processing Toolbox (IPT) and High-Fidelity Generative...
to create the sequence-to-sequence learning algorithm, and worked on TensorFlow. At the end of 2015, he left Google to become cofounder and chief scientist...
train on their own data. Further, SageMaker provides managed instances of TensorFlow and Apache MXNet, where developers can create their own ML algorithms...