Opiniones y comentarios de aprendices correspondientes a Named Entity Recognition using LSTMs with Keras por parte de Coursera Project Network
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Principales reseñas
End to End example of how to implement NLP NER in Keras using bi directional LSTM. Completed notebook can be found in the Coursera project resource page.
Excellent short course with hands on exercise. Wish to do more free courses.
26 - 37 de 37 revisiones para Named Entity Recognition using LSTMs with Keras
por Anand S
•Really liked the structured approach. Helped me understand the steps involved in building a NER app
por Padala V R
•Rhyme interface is too laggy
por Nirmala S
•Good learning experience.
por Benjamin B L
•Very helpful
por Neelkanth S M
•it's too short, plus I expected it to be close to real life projects
por Akshay G
•More in-depth explanations on model building and use of libraries could have been useful. I expected a bit more considering I paid USD 10 for this course. And the course felt a bit too short.
por Julie S
•I would have been more aware of NER with LSTM by doing a traditional tuto on a random site. There is so few theoric and overall explanation and the voice is monotonous.
por Simon S R
•Needs more theoretical explanation alongside, not better than other free tutorials.
por Krishna C M
•Nothing useful from this guided course, you can even read a free published article from random source. All the instructor did was read out what he is typing. The ability to code while you watch video, I did not find it much useful.
por Manoj R
•It's just the copy of what is available as free in the internet, even the dataset...
por Youyi K
•the third party tool... no sound at all...total waste of time and money
por Nisarg A M
•At least provide the notebook with code after the course ends.
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