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Final year we launched the Women in Equipment Finding out application, with the aim of making an inclusive area for all intersections of range and to give a voice and platform to females passionate about ML. Hundreds joined to share guidelines and insights…
Posted by Joana Carrasqueira, Developer Relations Application Manager
Thank you to every person who joined us at the 2nd Ladies in Device Understanding Symposium!
Final 12 months we started the Girls in Equipment Studying method, with the objective of creating an inclusive place for all intersections of range and to give a voice and system to females passionate about ML. Hundreds joined to share recommendations and insights for professions in ML, discovered how to get involved in the local community, contributed to open supply, and considerably far more.
This calendar year, countless numbers of ML practitioners joined from all above the entire world. All people came jointly to find out the newest Device Learning equipment and techniques, get the scoop on the most recent ML solutions from Google, and study straight from a number of astounding females in the area.
In the course of the keynote we announced:
- Easy ML for Sheets – Simple ML is an incorporate-on, in beta, for Google Sheets from the TensorFlow staff that aids make equipment understanding available to all. Everyone, even individuals with no programming or ML experience, can experiment and implement some of the electricity of machine learning to their data in Google Sheets with just a handful of clicks. Watch the demo right here.
- MediaPipe Previews – We invited developers to preview very low-code APIs that supply methods to popular on-unit ML issues throughout eyesight, purely natural language and audio. We also opened MediaPipe Studio, a website-based mostly interface that presents a new way to prototype and benchmark ML solutions.
- TensorFlow Suggestion Devices Hub – We posted a new committed website page on TensorFlow.org wherever builders can uncover resources and guidance for developing world-class suggestion programs with the TensorFlow ecosystem.
- Future Signal Language AI Kaggle Level of competition – Our initial Sign Language AI Levels of competition to assistance the partners of deaf children master to indication launches before long. Indicator up to get notified when it launches.
Pursuing is a fast recap, and workshops from the party. Thanks all over again.
https://www.youtube.com/check out?v=IeI0zlbljdE
Workshops:
Introduction to Equipment Studying
This session provides participants a palms-on overview on how to get started in ML, covering many matters from introduction to ML models, to producing your very first ML challenge. Learn how to use Codelabs and leverage specialized documentation to assist you receiving started off.
TensorFlow Lite in Android with Google Participate in Solutions
TensorFlow Lite is obtainable in Google Perform solutions runtime for all Android units jogging Perform solutions. Understand how to operate ML versions with out statically bundling TensorFlow Lite libraries into your application and allow you to reduce the dimension of your apps and get enhanced efficiency from the latest stable variation of the libraries.
Advanced On-Unit ML Designed Effortless with MediaPipe
Master how MediaPipe can assistance you conveniently generate custom made cross-platform on-system ML solutions with small-code and no-code applications. In this session, you will see how to promptly try out on-unit ML answers on a net browser, then personalize them in just a couple of lines of Python code, and effortlessly deploy them throughout various platforms: net, Android and Python.
Generative Adversarial Networks (GANs) and Steady Diffusion
Secure Diffusion is a text-to-impression model that will enable many folks to develop wonderful art inside seconds. Applying Keras, you can enter a limited textual content description into the Secure Diffusion models out there to create these kinds of an picture. In the course of this session, you can find out how to generate your personal personalized photos with a several strains of Python code.
What is Next?
Subscribe to the TensorFlow channel on YouTube and check out out the Women in Equipment Discovering Symposium 2022 playlist at your ease!
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