They're up to day three, currently, of all deep dives into all the new stuff. They're doing five days of Kubernetes 1.6. If you want to know more about it, go to the Kubernetes blog. There's a whole bunch of different scheduling features, storage provision, and more. Overview at a high level- there's new stuff around security. We're up from 2,000 Nodes supports to 5,000 Nodes and 150,000 Nodes supports. Huge, huge scale increase, which I think is really cool. There is a huge amount of stuff going on in 1.6, which is great. So Kubernetes 1.6- I'm a huge Kubernetes fan, as many people know. And I don't know much about what's new on Kubernetes 1.6, so why don't you tell us a little bit? But before that I think we have today a bunch of different cool things of the week, the first one coming from you, you either the Kubernetes 1.6. When do I need them? When do I want them? Yep, it's a pretty common question, so hopefully will be pretty useful for lots of people. We're going to talk about API keys and Cloud Endpoints. And then after that we're going to have our question of the week, which I think you're going to know a whole lot about. Yeah, and if you have huge data sets, it's very, very useful. You don't have to install anything, it's just there. And the cool thing is that basically makes TensorFlow basically as a service. How can you use it? What is this crazy thing? Yeah, he's going to come have a chat with us about TensorFlow, machine learning, how to do it in the cloud. We have one of our dear developer advocates from our team at Google Cloud Platform, Yufeng Guo, to talk about the cloud machine learning engine. ![]() Anyway, today we're going to have a pretty cool episode. I left sunny San Francisco to come to Vancouver. ![]() Huggable or not? Build smart applications with your new superpower: cloud machine learning YouTube.TensorFlow and Deep Learning without a PhD part 1 and part 2.On-device machine learning: TensorFlow on Android (Google Cloud Next ‘17) YouTube.The Great Cloud Shift From Renting Hardware To Services And Experts Forbes.Recapping Google Next ‘17 by Kalev Leetaru: Kubernetes 1.6: Multi-user, Multi-workloads at Scale blog post.Share your use case with him on Twitter Cool things of the week He enjoys hearing about new and interesting applications of machine learning, Yufeng is a Developer Advocate for the Google Cloud Platform, where he is trying to make machine learning more understandable and usable for all. ![]() To talk about the Cloud Machine Learning Engine.Ĭloud Machine Learning Engine offers a managed platform for training and serving Tensorflow models. One of our dear Developer Advocates, Yufeng Guo,
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