TensorFlow is an open source software library for programming data streams across various tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. It's used for research and production on Google,? often replacing its predecessor with closed source, DistBelief.
TensorFlow was developed by the Google Brain team for internal Google use. It was released under the open source license of Apache 2.0 on November 9, 2015.
Video TensorFlow
History
DistBelief
Beginning in 2011, Google Brain built DistBelief as a proprietary machine learning system based on deep-learning neural networks. Its use is growing rapidly across a variety of Alphabet companies in research and commercial applications. Google commissioned several computer scientists, including Jeff Dean, to simplify and update the DistBelief code base into a faster and more powerful classroom application library, which became TensorFlow. In 2009, a team led by Geoffrey Hinton, has implemented a common backpropagation and other improvements that enable the formation of neural networks with much higher accuracy, such as 25% reduction in voice recognition errors.
TensorFlow
TensorFlow is Google Brain's second generation system. Version 1.0.0 was released on February 11, 2017. While reference implementations run on a single device, TensorFlow can run on multiple CPUs and GPUs (with optional CUDA and SYCL extensions for general-purpose computing on graphics processing units). TensorFlow is available on 64-bit Linux, macOS, Windows, and mobile computing platforms including Android and iOS.
TensorFlow calculations are expressed as stateful dataflow graphs. The name TensorFlow comes from the operation of such neural networks on multidimensional data structures. This array is called a "tensor". In June 2016, Dean stated that 1,500 repositories in GitHub mention TensorFlow, which only 5 are from Google.
Tensor processing unit (TPU)
In May 2016, Google announced a Tensor processing unit (TPU), ASIC tailor-made for machine learning and tailored for TensorFlow. TPU is a programmable AI accelerator designed to provide high-precision low-arithmetic output (for example, 8-bit), and oriented to use or execute a model rather than train it. Google announced that it has been running TPUs in their data centers for over a year, and has found them to provide a higher order of magnitude optimized performance per watt for machine learning.
In May 2017, Google announced the second generation, as well as TPU availability on Google Compute Engine. The second generation TPU delivers up to 180 teraflops of performance, and when set into a 64 TPU cluster, it provides up to 11.5 petaflops.
In February 2018, Google announced that they made TPU available in beta on Google Cloud Platform.
TensorFlow Lite
In May 2017, Google announced a collection of special software for Android development, TensorFlow Lite, starting with Android Oreo.
Apps
Google officially released RankBrain on October 26, 2015, which is supported by TensorFlow.
On March 1, 2018, Google released Machine Learning Crash Course (MLCC). Originally designed to help equip Google's employees with practical, machine-based and practical intelligence, Google launched a free TensorFlow workshop in several cities around the world before finally releasing the course to the public.
Maps TensorFlow
Features
TensorFlow provides the official Python API and API C; and without assurance of API stability: C, Go, and Java. Third party packages are available for C #, Haskell, Julia, R, Scala, Rust, and OCaml.
A "WebGL accelerated, browser-based JavaScript library for training and deploying ML models" (where "for inference, TensorFlow.js with WebGL is 1.5-2x slower than TensorFlow Python with AVX.For training, we've seen smaller model train more fast in browsers and large model train up to 10-15x slower in browser ") released by Tensorflow.org on March 30, 2018. They also have a record of" Swift for TensorFlow is an early-stage research project.It has been released to enable open source development and not ready for general use by developers of machine learning. "
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Applications
Among the applications that TensorFlow is the foundation, is automatic text image software, such as DeepDream. RankBrain now handles a large number of search queries, replacing and complementing traditional static-based search results.
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References
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External links
- Official website
- TensorFlow in GitHub
- Source stats
Source of the article : Wikipedia
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