Automatic Differentiation with TensorFlow — Topic 64 of Machine Learning Foundations

#MLFoundations #Calculus #MachineLearning

In this video, we use a hands-on code demo in TensorFlow to see AutoDiff in action first-hand, enabling us to compute the derivatives equations instantaneously.

Jon Krohn is Chief Data Scientist at the machine learning company Nebula. He authored the book Deep Learning Illustrated, an instant #1 bestseller that was translated into six languages. Jon is renowned for his compelling lectures, which he offers in-person at Columbia University, New York University, and leading industry conferences, as well as online via O'Reilly, his YouTube channel, and the SuperDataScience podcast.

[Mrtyville]

I am new to machine learning but am doing my bachelor in autodiff. It is really difficult to me to get used to python and understand all these new terms.

In one of the literatures I read, besides of TensorFlow, there are also packages used like Autograd or Tangent. It is called Tangent: Automatic Differentiation Using Source
Code Transformation in Python.

[bensrandomshows]

Once we take a derivative, are we able to use tensorflow to differentiate that?

[talibdaryabi]

I asked chatGPT what auto differentiation is? the answer given to me is: