This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing a TFX pipeline and a discussion of current topics in model understanding. Watch more #io19 here: Machine Learning at Google I/O 2019 Playlist → https://goo.gle/2URpjol TensorFlow at Google I/O 2019 Playlist → http://bit.ly/2GW7ZJM Google I/O 2019 All Sessions Playlist → https://goo.gle/io19allsessions Learn more on the I/O Website → https://google.com/io Subscribe to the TensorFlow Channel → https://bit.ly/TensorFlow1 Get started at → https://www.tensorflow.org/ Speaker(s): Kevin Haas , Tulsee Doshi , Konstantinos Katsiapis T02F52 event: Google I/O 2019; re_ty: Publish; product: TensorFlow – TensorFlow Extended; fullname: Tulsee Doshi;
Learn about the latest product and platform innovations at Google in a Keynote led by Sundar Pichai. Watch more #io19 here: Google I/O 2019 All Sessions Playlist → https://goo.gle/io19allsessions Learn more on the I/O Website → https://google.com/io Subscribe to the Google Developers Channel → https://goo.gle/developers Get started at → https://developers.google.com/
Learn about the latest product and platform innovations at Google in a Keynote led by Sundar Pichai. Watch more #io19 here: Google I/O 2019 All Sessions playlist → https://goo.gle/io19allsessions Learn more on the I/O Website → https://google.com/io Subscribe to the Google Developers Channel → https://goo.gle/developers Get started at → https://developers.google.com/ event: Google I/O 2019; re_ty: Livestream;
This is a talk for people who know code, but who don’t necessarily know machine learning. Learn the ‘new’ paradigm of machine learning, and how models are an alternative implementation for some logic scenarios, as opposed to writing if/then rules and other code. This session will guide you through understanding many of the new concepts in machine learning that you might not be familiar with including eager mode, training loops, optimizers, and loss functions. Watch more #io19 here: Machine Learning at Google I/O 2019 Playlist → https://goo.gle/2URpjol TensorFlow at Google I/O 2019 Playlist → http://bit.ly/2GW7ZJM Google I/O 2019 All Sessions Playlist → https://goo.gle/io19allsessions Learn more on the I/O Website → https://google.com/io Subscribe to the TensorFlow Channel → https://bit.ly/TensorFlow1 Get started at → https://www.tensorflow.org/ Speaker(s): Laurence Moroney and Karmel Allison T700B4
Learn from Googlers who are working to ensure that a robust framework for ethical AI principles are in place, and that Google’s products do not amplify or propagate unfair bias, stereotyping, or prejudice. Hear about the research they are doing to evolve artificial intelligence towards positive goals: from accountability in the ethical deployment of AI, to the tools needed to actually build them, and advocating for the inclusion of concepts such as race, gender, and justice to be considered as part of the process. Watch more #io19 here: Inspiration at Google I/O 2019 Playlist → https://goo.gle/2LkBwCF TensorFlow at Google I/O 2019 Playlist → http://bit.ly/2GW7ZJM Google I/O 2019 All Sessions Playlist → https://goo.gle/io19allsessions Learn more on the I/O Website → https://google.com/io Subscribe to the TensorFlow Channel → https://bit.ly/TensorFlow1 Get started at → https://www.tensorflow.org/ Speaker(s): Jen Gennai, Margaret Mitchell, Jamila Smith-Loud TC3A01
Come and find out the latest development of Android on-device machine learning, including Android platform, ML Kit, and TensorFlow Lite. Watch more #io19 here: Android & Play at Google I/O 2019 Playlist → https://goo.gle/2GRWlQh Google I/O 2019 All Sessions Playlist → https://goo.gle/io19allsessions Learn more on the I/O Website → https://google.com/io Subscribe to the Android Developers Channel → https://goo.gle/AndroidDevs Get started at → https://developer.android.com/ Speaker(s): Matej Pfajfar‎, Hoi Lam, Dong Chen, Laurence Moroney T37BD9