機器學習零到英雄(Google I / O' 19)



這是針對了解代碼但不一定了解機器學習的人們的演講。了解機器學習的「新」範式,以及模型如何在某些邏輯場景中作為替代實現方式,而不是編寫if / then規則和其他代碼。本課程將指導您了解機器學習中許多您可能不熟悉的新概念,包括急切模式,訓練循環,優化器和損失函數。

在此處觀看更多#io19:Google I / O 2019播放器上的機器學習→https://goo.gle/2URpjol
Google I / O 2019播放列表中的TensorFlow→http://bit.ly/2GW7ZJM
Google I / O 2019所有會話播放列表→https://goo.gle/io19allsessions
在I / O網站上了解更多信息→https://google.com/io

訂閱TensorFlow頻道→https://bit.ly/TensorFlow1
從→https://www.tensorflow.org/開始使用

講者:勞倫斯·莫羅尼和卡梅爾·艾莉森

T700B4。

26 comments
  1. This is excellent! this demonstrates how ML is just a more advanced version of software and not some magical energy that will become an overlord but more importantly gives us the foundation to learn the essential to get into building apps with TensorFlow

  2. @laurence Moroney Can you please share complete code with us ? You are very good professor . Which course on Coursera that you teach to enroll later ?

  3. Very enlightening talk.

    How long an ML noob like me who is rather experienced Android Kotlin dev would take to create a similar image recognizer app?

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