Aug 27, 2019
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!
Feb 29, 2020
Excellent course\n\nGave me a brief idea with practical experience about how to process strings for machine learning.\n\nI would like to thank Laurence Sir\n\nand a Special thanks to Andrew Sir
por Luiz C•
Aug 05, 2019
As previous Courses of this Specialization, this Course is very suited to teach you the main concepts quickly. But it lacks the hands-on practice required to go into the implementation details. At the end, you won't have the minimum experience to usefully apply the learned concepts
por Udit G•
Nov 10, 2019
The evaluation process is very simple and based on memory rather than on concepts. Overall, courses in this specialization do not motivate the student to learn. The Andrew Ng's courses are much more detailed in theory and evaluation. These courses stand nowhere them.
por Stephen H•
Oct 31, 2019
Echoing what others have said. The course information is largely links to official documentation and videos from other courses. The notebooks are cookie cutter follow alongs. There really is little content here.
por Ian D•
Sep 24, 2019
This is a *very* surface level course. You might learn the mechanics of using tensorflow to perform some operations, but the moment something goes wrong you'll have no idea why.
por Wenyang Q•
Oct 02, 2019
This course has very little materials. One can simply do it in an afternoon. Each video is around 1min. Explanations are very poor. Tutorials on Tensorflow websites are much better than this.
por Rami K•
Aug 08, 2019
I feel like I could have learned more by reading on stack-overflow - I didn't learn much here. Quality training materials could have been better.
por Asim W•
Sep 30, 2019
The course is extremely basic and all the materials it covers can easily be covered in just one article. Doesn't build any transferrable skill.
por Sathish G•
Aug 10, 2019
There are lot of courses available related to processing image data, but very few on NLP. The course was really good and helped me a lot. It would be helpful if a course is designed specifically keeping in mind the NLP data and the tasks associated with processing text data. If you could please make a video/post/blog on how to perform named entity recognition using sequence models with neural networks.
por Subhadeep D•
Jun 20, 2019
The content was quite good. I felt contented after watching all the videos in the course as I wanted some hands on experience in TensorFlow. Just a small suggestion to increase the volume of the videos. I faced a tough time watching videos on the Coursera app in my mobile. Coming to content wise, an excellent course to begin your path in NLP. Looking forward for the last course in the specialization.
por Manish B•
Aug 30, 2019
Another outstanding course by Laurence Moroney. I like the clear and concise way that Laurence teached the complex subjects and his step-by-step approach to building up the models without getting bogged down with too much jargon or theory (and math!) behind the models. The courses (& exercises) are helping me apply the concepts to very practical problems. I enjoyed this course - Thanks Laurence!
por Ravi P B•
Mar 15, 2020
Nice experience taking this course.Precise and to the point introduction of topics and a really nice way to start programming the models without going much into theory. Covers good ground in NLP using Deep Learning.Just got a feeling that the explanation of RNN and LSTM can be bit more elaborated so as to make them understand little better but all an all a vergy good course.
por clement l r•
Jan 31, 2020
This course is a great introduction to NLP processing with Tensorflow. It emphasize that more effort is required in terms of data pre-processing as well as the different variations to implement RNN (LSTM,GRU,Conv1D). The last part with text generation is very interesting as well to understand how to extrapolate text generation from an initial classification problem.
por Itsido C A•
Aug 02, 2019
I enjoyed this course a lot. The concepts are not easy but Laurence the instructor does a really good job at breaking them down with practical examples and concrete implementation of the models with Tensor Flow. I went from knowing nothing in NLP to using cutting edge tools to implement those algorithms. Millions of thanks to our teachers Laurence and Dr Andrew Y.
por Ronet S•
Mar 27, 2020
A very decent course. The only real problem (not with the course though), was my inability to go into depth with the concepts of LSTM and GRU. The actual architecture went right above my head, and that probably needs a separate theory course to get it right. Additionally, I would like to say that please include more diagrams on how stacked lstms work.
por Richard S•
Sep 15, 2019
Another great course with Laurence. Basic processing for NLP, tokenization and word embeddings, then onto RNN and LSTM for sentiment and finally LSTMs for word prediction. Years ago did a project using LISP and a knowledge system with a similar objective to the latter. Fascinating and motivating to see how a NN does it.
Oct 20, 2019
Thank you teachers! In this course, I learned how to use tokenizer to process texts and how to pad sequences for same length. What's more, learning embedding layer is very good start for me, learning lstm is very useful in my future work. Of course, I have learned more than this knowledge in this course.
por Rishiganesh V•
Aug 13, 2019
My Heartfelt thanks to Laurence Moroney sir and Andrew ng for presenting this great lecture. I really enjoyed and learned a lot. A lot of great methods like LSTM, GRU, Convolutions and RNN with NLP is explained in simple manner for easy understandings. Thank you so much for providing these great lecture.
por Rishie N B•
Jan 11, 2020
This is a great course to strengthen the understanding of NLP and is targeted at getting hands on practical learning experience through many coding lectures and exercises. This went a long way in helping me with my projects and research work on NLP and this is a much recommended course to everyone !
por Sai K K K•
Jan 09, 2020
Fundamentals well covered in areas of NLP and related Tensorflow/Keras stuff. Would definitely recommend for Beginners/Intermediate NLP professionals.
My understanding and experience has been enhanced really as this course has picked up right Industry level datasets.
por NAVEEN K•
Mar 03, 2020
Thank you Coursera or giving this wonderful course! This course really helped me in strengthening my knowledge on Natural Language processing and better understanding of the different architectures like RNN,LSTM and applying them in real world problem
por Adhikari M T B A•
Jul 31, 2019
Well balanced short and sweet course with practical programming exercises as well as solid theoretical background superbly presented by outstanding tech experts. Looking forward eager for next courses of this series. Thank you very much!
por Eulier A G M•
Aug 11, 2019
Quite well informative intro for AI Beginners in concepts like: -Sentiments -Word Embedding -Recurrent Neural Networks. Is there a concept needed for this course that students must investigate if you don't know, high dimensional space.
por Juan-Pablo P•
Feb 25, 2020
This course was an excellent start to learn the basic concepts of RNN, LSTM. It also helped a lot to learn how to pre-process text data in order to convert words into numerical vectors that can be used as inputs to any neural network.
por Jafed E•
Jul 06, 2019
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
por Rahul R•
Sep 30, 2019
Very very informative course. I really loved the way Laurence Moroney step by step explained every concept. The examples were pretty nice. First time I learned how to use LSTM (using RNN). Thank you Coursera team.