Even with over 30,000 people playing at once, App Engine automatically scaled up instances to meet the demand. Furthermore, the team found they didn't have to do any extra infrastructure work after they launched. App Engine’s flexibility and ease-of-use allowed them to focus on making the game fun.
The original Quick, Draw! game was developed and deployed on App Engine by Jonas Jongejan on the Google Creative Lab team. Read on to learn how the game was built, and how you can get your hands on what’s arguably the world’s cutest research dataset. But it was all made possible through Google Cloud Platform services like App Engine, Cloud Datastore, and BigQuery. Quick, Draw! was brought to life through a collaboration between artists, designers, developers and research scientists from different teams across Google. We’ve now released 50 million of those drawings, and we’re thrilled that it’s stirred interest in the ML research community as well as the general public. Over a billion doodles have been drawn by people playing the game and subsequently collected into this anonymized dataset. Along the way, we’ve had the opportunity to help teach a neural network to recognize drawings, plus generate the world’s largest doodling data set, which is shared publicly to help further machine learning research. The game asks users to draw a doodle, then the game’s AI tries to guess what it is. Run, "C:\Program Files\AutoHotkey\AutoHotkeyU64.exe" %A_ScriptFullPath% 1Ĭhrome_Log := new CLogTailer("C:\Users\uername\AppData\Local\Google\Chrome\User Data\chrome_debug.Quick, Draw! is an AI experiment that has delighted millions of people across the world. SetWorkingDir %A_ScriptDir% Ensures a consistent starting directory. SendMode Input Recommended for new scripts due to its superior speed and reliability. #Warn Enable warnings to assist with detecting common errors. Code: Select all #NoEnv Recommended for performance and compatibility with future AutoHotkey releases.
0 kommentar(er)
