Course 2 - Week 3 Assignment - One Hot Encoding clarification

Course Q&A Deep Learning Specialization Improving Deep Neural Networks: Hyperparameter tun
1

I am a bit confused on the exercise about One Hot Encoding.
From my understanding:

  • label = Class = the number of labels (cats, dogs, birds, etc) our Y(i)s can take. In the lecture example we had 4 labels (Cats, Dogs, Birds, None), so label = 4
  • Depth is how many examples we have in our Y vector?

The terminology confused me a bit, and also it took me too much time to figure out how to use reshape, haha.

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277954009_293794542930303_7416937668926583404_n960×716 53 KB

This is what I understood, did I get it right?

2

Yes you did understand it correctly according to me and the picture you posted
Is the concept clear now or you have some more queries
Thanks and Regards,
Mayank Ghogale

3

Yep all clear, thank you!

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