Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!
Great course for anyone interested in NLP! This course focuses on practical learning instead of overburdening students with theory. Would recommend this to every NLP beginner/enthusiast out there!!
创建者 Vaibhav O•
Great introduction to NLP techniques with hands on TensorFlow
创建者 Bishmer S•
Love Andy and Larry. This is a great starter course for NLP.
创建者 Salman K•
Excellent teacher. Brilliantly planned efficiently executed.
创建者 vishesh k•
It opens my mind on how to proceed with the NLP problems...
创建者 Michalis F•
A very good introduction and hands on NLP real applications
创建者 surya b•
next word predictions is taught really well in this course
创建者 Arun K•
mice introductory level to interact on nlp with tensorflow
创建者 Biradar V J•
One of the best course encounter at the time of Lockdown.
创建者 Laurentiu G•
Very good course for beginners including good exercises.
Course teaches us how to implement NLP using tensorflow.
创建者 Shahid K•
5 Stars for practical knowledge on sequence based models
创建者 Shubham P•
An comprehensive course to kick start your career in nlp
创建者 Balaji S•
Best course I've had on NLP compared to other platforms
创建者 Nguyen T V•
Thank you very much. This course is very useful for me!
创建者 Cosimo R•
Great course held by a terrific teacher! I recommend it
Laurence's voice in most videos are too low in volume.
创建者 Nayef R•
It is very helpful course for beginners in NLP subject
Very good fundamental codes and concepts in practice .
创建者 ANINDITA S•
a very good course to start with tensor flow with NLP
创建者 SAUVIK B•
Very good course. Instructor explains very carefully.
创建者 Anuj S•
One of the best course in this series. Learned a lot.
创建者 Haoran C•
Please transfer the exercises from CoLab to Coursera.
创建者 Anh T T•
Thank you for your course. It is very helpful for me
创建者 Danny P•
Good course. Pretty basic intro to NLP using TF 2.0.