Google and Uber’s Best Practices for Deep Learning

There is more to building a sustainable Deep Learning solution than what is provided by Deep Learning frameworks like TensorFlow and PyTorch. These frameworks are good enough for research, but they don’t take into account the problems that crop up with production deployment. I’ve written previously about technical debt and the need from more adaptive biological like architectures. To support a via

[deeeet]

SREやDevOpsエンジニアがさらに求められる分野になりつつありますなあ．これまで培ってきたTDDやCI/CDのプラクティスをいかに応用してくかが大切．Cloudに投げちゃえば良いってのがまだやりにくいところでもある