Fast and lean data science with TPUs
(eVideo)

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Published
[Place of publication not identified] : O'Reilly Media, 2020.
Format
eVideo
Physical Desc
1 online resource (1 streaming video file (42 min., 49 sec.))
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Language
English

Notes

General Note
Title from resource description page (viewed July 22, 2020).
Participants/Performers
Presenter, Martin Gorner.
Description
"Google's TPUs revolutionize the way data scientists work. Weeklong training times are a thing of the past, and many models can be trained in minutes in a notebook. Agility and fast iterations bring neural networks into regular software development cycles and many developers ramp up on machine learning. Martin Gorner explores TPUs, then dives deep into the microarchitecture secrets behind them. You'll learn how to use them in your day-to-day projects to iterate faster. In fact, Martin not only demos the model--he trains the models on stage in real time on TPUs."--Resource description page

Citations

APA Citation, 7th Edition (style guide)

Gorner, M. (2020). Fast and lean data science with TPUs . O'Reilly Media.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Gorner, Martin. 2020. Fast and Lean Data Science With TPUs. O'Reilly Media.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Gorner, Martin. Fast and Lean Data Science With TPUs O'Reilly Media, 2020.

MLA Citation, 9th Edition (style guide)

Gorner, Martin. Fast and Lean Data Science With TPUs O'Reilly Media, 2020.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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20d78c71-d573-e471-d8bb-fe5bae200eea-eng
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Grouped Work ID20d78c71-d573-e471-d8bb-fe5bae200eea-eng
Full titlefast and lean data science with tpus
Authorgorner martin
Grouping Categorymovie
Last Update2024-09-06 16:31:08PM
Last Indexed2024-09-28 02:48:41AM

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First DetectedJul 29, 2024 04:05:36 PM
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