TPUs, systolic arrays, and bfloat16: accelerate your deep learning | Kaggle

Описание

Today we’re going to talk about systolic arrays and bfloat16 multipliers, two components of tensor processing units (TPUs) that are responsible for accelerating your deep learning model training time.

** super important content note **: you may have caught that the on screen image at 4:44 is incorrect! we've uploaded the correct image here: https://bit.ly/2RspG9Y

We currently have two opportunities for you to put TPUs to use:
Flowers Classification Playground Competition: https://www.kaggle.com/c/flower-classification-with-tpus
Jigsaw Multilingual Toxic Comment Classification Competition: https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification

SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_confirmation=1&utm_medium=youtube&utm_source=channel&utm_campaign=yt-sub

About Kaggle:
Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help.

Follow Kaggle online:
Visit the WEBSITE: http://www.kaggle.com/?utm_medium=youtube&utm_source=channel&utm_campaign=yt-kg
Like Kaggle on FACEBOOK: http://www.facebook.com/kaggle?utm_medium=youtube&utm_source=channel&utm_campaign=yt-fb
Follow Kaggle on TWITTER: http://twitter.com/kaggle?utm_medium=youtube&utm_source=channel&utm_campaign=yt-tw
Check out our BLOG: http://blog.kaggle.com/?utm_medium=youtube&utm_source=channel&utm_campaign=yt-blog
Connect with us on LINKEDIN: http://www.linkedin.com/company/kaggle?utm_medium=youtube&utm_source=channel&utm_campaign=yt-lkn

Advance your data science skills:
Take our free online courses: http://www.kaggle.com/learn/overview?utm_medium=youtube&utm_source=channel&utm_campaign=yt-learn
Get started with Kaggle Kernels: http://www.kaggle.com/docs/kernels?utm_medium=youtube&utm_source=channel&utm_campaign=yt-krnl
Download clean datasets from Kaggle: http://www.kaggle.com/docs/datasets?utm_medium=youtube&utm_source=channel&utm_campaign=yt-datast
Sign up for a Kaggle Competition: http://www.kaggle.com/docs/competitions?utm_medium=youtube&utm_source=channel&utm_campaign=yt-comps
Explore the Kaggle Public API: http://www.kaggle.com/docs/api?utm_medium=youtube&utm_source=channel&utm_campaign=yt-docs

Kaggle
https://www.youtube.com/c/kaggle