Here's how BLOG.TENSORFLOW.ORG makes money* and how much!

*Please read our disclaimer before using our estimates.
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BLOG . TENSORFLOW . ORG {}

Detected CMS Systems:

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Blog.tensorflow.org Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Social Networks
  10. External Links
  11. Analytics And Tracking
  12. Libraries
  13. CDN Services

We are analyzing https://blog.tensorflow.org/2020/07/accelerating-tensorflow-lite-xnnpack-integration.html.

Title:
Accelerating TensorFlow Lite with XNNPACK Integration — The TensorFlow Blog
Description:
Leveraging the CPU for ML inference yields the widest reach across the space of edge devices. Consequently, improving neural network inference performance on CPUs has been among the top requests to the TensorFlow Lite team. We listened and are excited to bring you, on average, 2.3X faster floating-point inference through the integration of the XNNPACK library into TensorFlow Lite.
Website Age:
9 years and 10 months (reg. 2015-08-25).

Matching Content Categories {📚}

  • Technology & Computing
  • Games
  • Telecommunications

Content Management System {📝}

What CMS is blog.tensorflow.org built with?


Blog.tensorflow.org relies on BLOGGER.

Traffic Estimate {📈}

What is the average monthly size of blog.tensorflow.org audience?

🚄 Respectable Traffic: 10k - 20k visitors per month


Based on our best estimate, this website will receive around 10,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Blog.tensorflow.org Make Money? {💸}

We don't see any clear sign of profit-making.

Websites don't always need to be profitable; some serve as platforms for education or personal expression. Websites can serve multiple purposes. And this might be one of them. Blog.tensorflow.org has a secret sauce for making money, but we can't detect it yet.

Keywords {🔍}

tensorflow, xnnpack, lite, backend, inference, download, operators, neural, mobile, optin, interpreteroptions, network, enable, default, models, google, devices, floatingpoint, convolution, interpreter, community, performance, speedup, release, operator, prebuilt, enabled, options, tensorflowjs, integration, arm, phones, pixel, avx, padding, ios, windows, linux, mechanism, detection, object, tflinterpreteroptions, model, search, return, home, core, tfx, cpu, edge,

Topics {✒️}

single-threaded inference speedup options object delivered 2x speedup single convolution operator single line 16-bit floating-point quantization 32-bit floating-point models ml inference yields ios xnnpack inference speedup low-end mobile phones google products neural network models fixed-point quantization neural network api neural network architectures tensorflow lite team tensorflow lite users tensorflow lite benefits building tensorflow lite tensorflow lite build use_xnnpack=true flag fixed-point representation tensorflow core tensorflow apple neural engine tensorflow lite model tensorflow lite interpreter cortex-a53/a73 cortex-a55/a75 avx512 instruction sets raspberry pi boards observed significant speedups augmented faces api transparently fall-back ming guang yong können nutzungsstatistiken generiert xnnpack added optimizations search return computational graph tensorflow home highly optimized implementations valid padding mode build-time opt pixel 3a playground xnnpack backend compared line code change explicit runtime opt tensorflow lite mac xnnpack backend community feedback

Questions {❓}

  • How Can I Use It?
  • Which Operations Are Accelerated?

Social Networks {👍}(4)

External Links {🔗}(34)

Analytics and Tracking {📊}

  • Google Analytics
  • Google Universal Analytics

Libraries {📚}

  • Lightbox
  • Prism.js
  • Semantic UI
  • Zoom.js

CDN Services {📦}

  • Cloudflare
  • Jsdelivr

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