Coursera Tensorflow week1 Introduction: A conversation with Andrew Ng

  笔记是对Andrew Ng和Lawrence Morley的对话的翻译。其中相互寒暄的话就不做翻译了。下文中用NG作为Andrew Ng的简称。

  Welcome to TensorFlow, from basics to mastery. Some of you may have taken deep learning or machine learning from me and learn about the amazing things you can now do with deep learning machine learning. One of the best tools you can use to implement these algorithms is TensorFlow. Learning algorithms can be quite complicated, and today, programming frameworks like TensorFlow, PyTorch, and many others can save you a lot of time. These tools can be complicated and what this set of courses will do is teach you how to use TensorFlow effectively. In order to teach much of these courses。
  欢迎学习《Tensorflow从入门到精通》。有些同学已经学习了部分coursera上的机器学习或者深度学习课程，如果学习了该门课程，就可以利用深度学习做一些神奇的事情。Tensorflow是一个很好的工具，它可以帮助我们实现算法。实现深度学习算法很复杂，但现如今我们可以利用一些深度学习框架，例如Tensorflow, Pytorch等。如此一来，我们就可以节约很多的时间。我们这门课将会教你如何有效的使用Tensorflow。

  I’m absolutely thrilled to introduce Lawrence Morley. Thank you, Andrew. He is a developer advocate at Google and has been working on Google AI and TensorFlow. Lawrence has also written over 30 programming books including four sci-fi novels.
  我很激动的向大家介绍Lawrence Morley。他是谷歌的高级工程师，从业于谷歌的AI实验室，致力于开发Tensorflow。Lawrence写了30多本编程的教材，包括四部科幻小说。

  Yeah exactly, I’ve been busy. I really enjoy writing, but the one thing I enjoy even more is learning and teaching AI. So, and actually, I’ve learned from the specializations that you mentioned and I learned from your courses. So it’s a real honor to be here with you. Thank you. I did not know that you were taking my course as well. Thank you.
  本段是Lawrence的自我介绍。下面以第一人称的口吻进行介绍：我一直很忙。我很喜欢写作，但我对学习和普及AI更加感兴趣。事实上，我也学习了不少NG的课程。我非常荣幸能和NG相遇。

  Definitely, so as a big fan, and that’s really what got me into AI was, it’s actually long story, I started doing AI many, many years ago back when it was things like prologue and Lisp and all that. But now when we’ve gotten more into machine learning and deep learning with neural networks, I needed a place to learn, and I actually learned it from your courses, so it’s been exciting to be actually coming full circle and now teaching it myself, too.
  之所以我要进入AI行业，是因为它非常有趣。其实我学习AI已经有很长的历史了，例如学习了最早的Prologue和Lisp语言。现如今在AI行业中更为流行的是机器学习和深度学习，所以我需要去系统的学习，而NG的课程正好提供了一个完整的学习路线。

  Thank you. I actually did not know that. Thank you for sharing that. I caught you by surprise. Yes. So it’s, where the industry’s at right now is one of the things that really excites me, because it’s just, it’s really it’s exploding right, there’s a deep learning and machine learning skills are becoming ever more important and opening up whole new scenarios. One of the strange things and exciting things about machine learning and AI is that it is no longer just a technical thing limited to the software industry so that everyone in all this every industry needs to figure this out.
  感谢你的分享。AI这个行业的确让人很兴奋，不仅因为它是爆炸式的增长，而且由于机器学习和深度学习的存在，开拓了很多新的场景。作为IT行业的从业者，我们必须知道的一点是，AI现在已经不仅仅是软件行业的技术的问题了。

  Yeah, yeah, and it’s exciting from a developer’s perspective because there’s a new powerdigm and the new powerdigm to me is opening up scenarios that weren’t previously possible, things that were too difficult for me to high programs for. And whatever it’s like whenever a new paradigm comes, and these new tools come, and it can open up new scenarios, then that opens up great new opportunities. Yeah, yeah, and I think one of the tragic things today is, even though the whole world sees the promise and the hope of these machine learning AI capabilities changing so many things, the world just doesn’t have enough AI developers today. >> Exactly. I mean I’ve seen surveys of 25, 26 million software developers and maybe 300,000 AI practitioners, so part of my personal passion is to try and turn those 24.7 not AI practitioners and significant portion of them into people who can understand AI and who can build the new and exciting things that we can’t think of.
  

  So I think if you finish this set of courses and learn how to code in TensorFlow, hopefully that will help you do some of this exciting work and maybe become an AI developer. So, in the next video, you will hear Lawrence talk about the differences between traditional programming paradigms versus the machine learning, and deep learning program paradigms. And you’ll also hear about how to fit in x to y data relationship, how to fit a straight line to data. So please go on to the next video. Thank you.
  如果你完成了该系列的课程，你将会学到如何使用Tensorflow去构建神经网络，将会帮助做一些有趣的事情，甚至可能会成为一个AI的从业者。在下一个视频中，你将会听到Lawrence讲述传统编程范式和深度学习编程范式的差别。将会学习到如何拟合因变量和自变量之间的关系。