Videos from the TensorFlow User Group Summit in India

Posted by Siddhant Agarwal and Biswajeet Mallik, Program Managers

TensorFlow has a strong developer community in India with 13 TensorFlow User Groups and 20+ Google Developer Experts. In September, these groups came together to organise the “TFUG India Summit“, a 4-day online event with four tracks. You can check out the recordings for these talks below.

TensorFlow Core and TensorFlow for Web
TensorFlow for Mobile
TensorFlow for Production
TensorFlow for Research

Thank you to the 14 community leaders from 13 India TFUGs, as well as our GDEs, who organized this event.

How to get involved

If you would like to start a TFUG in your region, please visit this page. To find a user group near you, check out this list. And, if you have any questions regarding TFUG, email us. Thank you!

Automatic group membership management with dynamic groups, now generally available February 17, 2021
Variational Inference with Joint Distributions in TensorFlow Probability February 17, 2021
Making transport easier and more affordable across India’s urban centers with Google Maps Platform February 16, 2021
3D Scene Understanding with TensorFlow 3D February 11, 2021
Quality to match with your user’s expectations February 11, 2021
Accelerated inference on Arm microcontrollers with TensorFlow Lite for Microcontrollers and CMSIS-NN February 10, 2021
Join us at TensorFlow Everywhere February 9, 2021
Group membership expiration now generally available February 8, 2021

November 23, 2020

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Google AI@GoogleAI·

25 Feb

Lyra is a new high-quality, very low-bitrate speech codec that leverages advances in #MachineLearning to make voice communication possible even on the slowest networks. Read all about it below: http://goo.gle/3ksSSLl

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Google AI@GoogleAI·

23 Feb

Today we present the technology behind the new Cinematic photos feature in Google Photos, where #MachineLearning is used to add simulated camera motion and parallax to a single-frame still photo, transforming a 2D photo into a more immersive 3D scene. https://goo.gle/3aKeRKr

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Google AI@GoogleAI·

19 Feb

We are excited to announce the release of Model Search, an open-source, domain-agnostic #AutoML platform that helps researchers to efficiently and automatically develop optimal #MachineLearning models. Learn more at http://goo.gle/3dtl2o5

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Google AI@GoogleAI·

18 Feb

Presenting DreamerV2, the first world model-based #ReinforcementLearning agent to achieve top-level performance on the Atari benchmark, learning general representations from images to discover successful behaviors in latent space. Read more at http://goo.gle/3ub8iZe

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Google AI@GoogleAI·

16 Feb

Can models more efficiently learn rearrangement tasks by overlaying 3D space instead of using object-centric representations? Check out Transporter Nets, an open-source framework for sample-efficient robot manipulation, with related benchmark tasks. See ↓ http://goo.gle/37k9KOW

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Google AI@GoogleAI·

11 Feb

Announcing the release of TensorFlow 3D, a set of training and evaluation pipelines for state-of-the-art 3D semantic segmentation, object detection and instance segmentation, with support for distributed training. Check it out and download the code at http://goo.gle/3pchcSG

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Google AI@GoogleAI·

11 Feb

Introducing the CATS4ML Data Challenge, a competition to identify “unknown unknowns”, data classes that are difficult for #ML models to evaluate due to the lack of real-world examples in training data. Learn more and join the challenge ↓ http://goo.gle/3tQvWKs

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Google AI@GoogleAI·

5 Feb

Introducing TracIn, a simple, scalable approach to understand the influence of training data on #MachineLearning models by tracing the changes in prediction as individual training examples are visited during the training process. Learn all about it below: https://goo.gle/3jkclgT

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Google AI@GoogleAI·

4 Feb

Check out new work on ML-driven design and exploration of custom accelerators, showing how #MachineLearning facilitates architecture exploration by rapidly identifying high-performing configurations across a range of applications. Learn more ↓ http://goo.gle/3rngiEh

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Google AI@GoogleAI·

3 Feb

Introducing the World Models Library, an open-source, platform-agnostic suite of tasks and tools for examination of world model design and performance in visual model-based reinforcement learning. Learn more and grab the code at http://goo.gle/36EXY1t

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Videos from the TensorFlow User Group Summit in India

How to get involved

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