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[MUSIC PLAYING] ALEXANDRE PASSOS: Im Alex, and Im here to tell you about how youre going to build graphs in TensorFlow 2.0. And this might make you a little uncomfortable, because we already spent quite some time earlier today telling you that in TensorFlow 2.0, we use eager execution by default. So why am I taking that away from you? And Im not. You still have your eager execution by default, but graphs are useful for quite a few things. The two ones that I care the most about personally are that some hardware, like our TPUs, really benefit from the kind of full program optimization that we can get if we have graphs. And if you have graphs, you can take your model and deploy it on servers and deploy it on mobile devices and deploy it on whatever thing you want, make it available to as many people as you can think of. So at this point, youre probably, eh, I remember TensorFlow 1.0. I remember the kind of code I had to write to use graphs, and I wasnt proud of it. Is he just goin
