From the examples I can see that all are for image classification. Seems that the whole course is about image classification. My question is that will it be like that all the way or do we delve into other things like NLP?
There’s an NLP section that focuses on sentiment analysis and sequence to sequence models which generate text.
Part two also includes more NLP. It touches on chatbots and talks about language translation. I’ve just finished watching lesson 12. There may be more NLP in 13 or 14.
There’s plenty outside of best practices for image classification in this course IMHO. There’s some really interesting generative image tasks covered in part two (super resolution and style transfer were some of my faves).
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