You’re welcome.
It’s compatible with the latest version of tensorflow.
You have access to this private LT lead listing page. That’s a good place to start as well.
I’m no expert on TensorFlow .
As far as I understand your question - you are asking about the reasons behind the log level that was chosen in the Notebooks?
My understanding of this is very “surface level” and my thoughts are that the number of messages(info, warning, errors) they (the course developers) wanted to display depends on the Notebooks and the system they tested. In other words, each notebook would have it’s own reasons (the frameworks’ versions, the functions used, the “tolerance” of the learners (beginner courses might suppress all messages, while more advanced courses might show some messages that could be of some use), and maybe “just because” ).
Again, I’m not the most informed on the matter, just my thoughts.
If you notice my first post comment here, it mentions if someone comes across this doubt they can refer about the log level.
I did research myself arvy, and I don’t know if you remember one of the learner in short course had a similar query about the warning, related to or prevent fast tokenization, so I came across similar codes again in one of the notebook and I wondered it’s significance and I came forth the information which I shared, so if any learners has doubt can search through.
But then the good part of posting this was I got to know silence tensorflow by balaji, and that’s when I asked him, when that use of import silence tensor flow could directly avoid all the 3 levels of information related to tensor flow, then why wasn’t it used in our assignments as I noticed in recent updated assignments of NLP.
That’s when he tagged you, he didn’t knew I was already annoying you with doubts
Anyways, so can you tell me why was silence tensorflow not preferred in the updated assignments, although I can intuitively know what you might tell but I am still waiting for your response too on this
I’m not sure what you have in mind . silence-tensorflow is a third party package and deeplearning.ai uses them (third party code) very sparingly/cautiously.
Maybe what you meant is that TensorFlow is not my first (or second…) choice when it comes to DL, and the TF approach to “things” is not my favorite?
On the other hand, I personally lean towards more logging than less, so in that regard I usually find logging messages more useful than scary (while I understand that some learners might find them disturbing). In other words, if they would not interfere too much with the learning materials (not sure of how many of them would show up), I would prefer to see them than not.
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but I am still waiting for your response too on this
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