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Notes for CS230 and Deep Learning Specialization

I follow the syllabus from March 2023. I watch the lectures from Autumn 2018. I watch the modules from 2017 (Course 1, 2, 3, 4).

https://www.youtube.com/watch?v=PySo_6S4ZAg&ab_channel=StanfordOnline​

  • Deep learning is popular because of the increase in data and the increase in compute.
  • CS230 and other machine learning CS courses from Stanford are self-contained; it's not a strict requirement to take one before anotther.

https://www.youtube.com/watch?v=CS4cs9xVecg​

  • One unique part of this course is "Structuring your Machine Learning project" since it's not usually taught. However, since Andrew Ng worked at Google and Baidu, he feels qualified to teach it.

https://www.youtube.com/watch?v=n1l-9lIMW7E​

  • ReLU or Rectified Linear Unit is a function that only gives 0 or positive numbers.

https://www.youtube.com/watch?v=BYGpKPY9pO0​

  • Almost all of the economic value created by neural networks has been through supervised learning