Wayback Machine
184 captures
29 Jan 2016 - 21 May 2026
Nov DEC Jan
31
2024 2025 2026
success
fail
About this capture
COLLECTED BY
Organization: Archive Team
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: ArchiveBot: The Archive Team Crowdsourced Crawler
ArchiveBot is an IRC bot designed to automate the archival of smaller websites (e.g. up to a few hundred thousand URLs). You give it a URL to start at, and it grabs all content under that URL, records it in a WARC, and then uploads that WARC to ArchiveTeam servers for eventual injection into the Internet Archive (or other archive sites).

To use ArchiveBot, drop by #archivebot on EFNet. To interact with ArchiveBot, you issue commands by typing it into the channel. Note you will need channel operator permissions in order to issue archiving jobs. The dashboard shows the sites being downloaded currently.

There is a dashboard running for the archivebot process at http://www.archivebot.com.

ArchiveBot's source code can be found at https://github.com/ArchiveTeam/ArchiveBot.

TIMESTAMPS
loading
The Wayback Machine - https://web.archive.org/web/20251231212802/https://www.tensorflow.org/tutorials/image_recognition
Skip to main content
TensorFlow
Install Learn
  • Introduction
    New to TensorFlow?
  • Tutorials
    Learn how to use TensorFlow with end-to-end examples
  • Guide
    Learn framework concepts and components
  • Learn ML
    Educational resources to master your path with TensorFlow
API
  • TensorFlow (v2.16.1)
  • Versions…
  • TensorFlow.js
  • TensorFlow Lite
  • TFX
Ecosystem
  • LIBRARIES
  • TensorFlow.js
    Develop web ML applications in JavaScript
  • TensorFlow Lite
    Deploy ML on mobile, microcontrollers and other edge devices
  • TFX
    Build production ML pipelines
  • All libraries
    Create advanced models and extend TensorFlow
  • RESOURCES
  • Models & datasets
    Pre-trained models and datasets built by Google and the community
  • Tools
    Tools to support and accelerate TensorFlow workflows
  • Responsible AI
    Resources for every stage of the ML workflow
  • Recommendation systems
    Build recommendation systems with open source tools
Community
  • Groups
    User groups, interest groups and mailing lists
  • Contribute
    Guide for contributing to code and documentation
  • Blog
    Stay up to date with all things TensorFlow
  • Forum
    Discussion platform for the TensorFlow community
Why TensorFlow
  • About
  • Case studies
/
  • English
  • 中文 – 简体
GitHub Sign in
TensorFlow
  • Install
  • Learn
    • More
  • API
    • More
  • Ecosystem
    • More
  • Community
    • More
  • Why TensorFlow
    • More
  • GitHub
  • Introduction
  • Tutorials
  • Guide
  • Learn ML
  • TensorFlow (v2.16.1)
  • Versions…
  • TensorFlow.js
  • TensorFlow Lite
  • TFX
  • LIBRARIES
  • TensorFlow.js
  • TensorFlow Lite
  • TFX
  • All libraries
  • RESOURCES
  • Models & datasets
  • Tools
  • Responsible AI
  • Recommendation systems
  • Groups
  • Contribute
  • Blog
  • Forum
  • About
  • Case studies

404

Sorry, we couldn't find that page.

Maybe you are looking for...

  • Homepage
  • Installation
  • Quickstart
  • Guide
  • Tutorials
  • API reference
  • Libraries & extensions
/
  • Stay connected

    • Blog
    • Forum
    • GitHub
    • Twitter
    • YouTube
  • Support

    • Issue tracker
    • Release notes
    • Stack Overflow
    • Brand guidelines
    • Cite TensorFlow
  • Terms
  • Privacy
  • Manage cookies
  • Sign up for the TensorFlow newsletter Subscribe
  • English
  • 中文 – 简体
✕

Wait! Don't Go Yet 🚀

Get our FREE eBook "10 Programming Tips That Changed Everything" when you subscribe!

No spam. Unsubscribe anytime.