Alongside Guido van Rossum, Naomi Ceder and Alejandro Saucedo, we are delighted to announce our fourth and final keynote for EuroPython 2020 Online.
Siddha Ganju
30 Golden Rules of Deep Learning Performance
โWatching paint dry is faster than training my deep learning model.โ
โIf only I had ten more GPUs, I could train my model in time.โ
โI want to run my model on a cheap smartphone, but itโs probably too heavy and slow.โ
If this sounds like you, then you might like this talk.
Exploring the landscape of training and inference, we cover a myriad of tricks that step-by-step improve the efficiency of most deep learning pipelines, reduce wasted hardware cycles, and make them cost-effective. We identify and fix inefficiencies across different parts of the pipeline, including data preparation, reading and augmentation, training, and inference.
With a data-driven approach and easy-to-replicate TensorFlow examples, finely tune the knobs of your deep learning pipeline to get the best out of your hardware. And with the money you save, demand a raise!
About Siddha Ganju
Siddha Ganju, an AI researcher who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. As an AI Advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which ended up discovering a comet. Previously at Deep Vision, she developed deep learning models for resource-constrained edge devices. Her work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. She has served as a featured jury member in several international tech competitions including CES. As an advocate for diversity and inclusion in technology, she speaks at schools and colleges to motivate and grow a new generation of technologies from all backgrounds.
- LinkedIn: https://www.linkedin.com/in/sidgan/
- Twitter: https://twitter.com/SiddhaGanju
- Website: http://sidgan.me/siddhaganju
๐ข Guido van Rossum - Q&A
Don't forget in Guido van Rossum - Q&A session, youโll get a chance to get your questions answered by Guido van Rossum, our retired BDFL.
In order to submit a question, please use the following Google form: https://forms.gle/cAaBgUeVEBgjaDrH7
๐ EuroPython 2020 Online Keynote details: https://ep2020.europython.eu/events/keynotes/
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