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Reviews 5

Average rating 3.8

Completed 100% of course

There seems to be no reason to attend the lecture. The theoretical depth is much more detailed in the free natural language processing Wikibooks on the web, so the only significance in the theoretical part is the 'summary'. However, if you try to find significance in the code, the code is just written down and you can't figure out why the code was written like this. You said that you don't explain the library or method in detail in the pre-lecture, but if that's the case, you just share the code and there's no reason to make it into a lecture. And if you plan to continue making and selling lectures in the future, I hope you make the lecture script a little cleaner and practice it. I can't help it because diction and tone problems are inherent, but I feel like the overall script is too poorly prepared. You only use the final ending 5 times throughout the 10-minute lecture, and you continue every sentence with "~했다고, ~구", which makes me secretly frustrated. The hard-to-read mouse pad and the choppy sound are actually secondary issues.

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Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT thumbnail
aischool

·

35 lectures

·

806 students

Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT thumbnail
aischool

·

35 lectures

·

806 students