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!
Jul 22, 2020
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!!
교육 기관: luis a•
Oct 11, 2019
In my opinion, the course was too simple. There are many many concepts that are not covered properly. Even if they recommend going to the deep learning course from Andrew, I believe that at least could explain a bit more some parameters used in the functions and how actually work.
On the other side, you make cool thinks like text generation!
교육 기관: Sina D•
Apr 20, 2020
This course does not follow the same standards as the previous courses from deaplearning.ai. The material taught in this course are two basic and do not go in-depth to introduce the major techniques that are being used in the field. The colab notebooks are not provided in most cases and you have to look for them in QA or Github.
교육 기관: Stefan B•
Apr 12, 2020
In the previous two courses of the specialization, coding exercises were compulsory and graded. In this course, all coding exercises were voluntarily and not well documented. It seemed to me that for whatever reason, the makers of course 3 (natural language processing in tf) put less effort into the making. Bit disappointed.
교육 기관: Janmejay B•
Sep 18, 2020
Basic concepts of NLP. I expect more from this course . Not helpful for real world problem. Should have add more content with more complex and real world problems with programing exercises. No assignments for evaluation of a student understanding. This is not expected from Deeplearning.ai.
교육 기관: Dustin Z•
Jun 28, 2020
It was a good course like the rest in the series, though in this course, they don't link to the colab notebooks that Lawrence works through in the items for each week. The colab notebooks exist on lawrence's colab account but you need to hunt them down. I would suggest fixing this oversight.
교육 기관: José D•
Apr 20, 2020
This third course provides main NLP concepts using Keras simple example codes. Just like Courses 1 & 2, there's no math and as explained in the videos, if you want a deeper understanding, then you want the "Deep Learning" specialization. Only quizzes, no graded exercises for this course
교육 기관: Justin E•
May 02, 2020
It was good but there are several errors in the code for some weekly exercises.
I wanted to raise a PR in the author's Github repo to fix theses. However, upon seeing the backlog unaddressed PRs in the author's Github repo, I didn't bother as they will probably not be looked at.
교육 기관: Rajat Y•
Nov 30, 2019
Since the course doesn't mention "Introduction" to NLP, I thought that the course will provide a detail insights to Natural Language Processing but the course only covers basics of it. Also as far as tensorflow is concerned I was expecting more hands-on experience in it.
교육 기관: afshin m•
Jan 17, 2020
week 2 and week3 are disorganized - the examples don't run without making modifications based on information in the forums.
However the overall course is worth it. I hope they pay more attention to making the examples accessible and making them work.
교육 기관: Thusitha C•
Aug 01, 2020
Nothing against the instructor, he was really nice. But the content is extremely basic, to the extent that the whole course could be completed in one day. At least the previous courses had graded assignments, but this one was way too easy.
교육 기관: PRATIK K C•
May 23, 2020
One example in case of text classification could have been theoretically worked out. For example classification using RNN/LSTM. How a word vector is passed as input to one unit of lstm? To view in on paper would make concepts more clear.
교육 기관: Hector B•
Jun 06, 2020
The course is good but lacks graded coding homeworks, these are the most powerful learning tools and it involves reflecting upon the matter, even if they have bugs or version mismatches, they are the most important learing tool!
교육 기관: Reem•
Apr 01, 2020
Good overview but the assignments seem a bit disconnected from the classes at times (e.g. when asking us to use regularizers). Transformers are a lot more popular now and they were not touched on in the course.
교육 기관: Kaivalya B•
May 24, 2020
The exercises were unclear and ungraded. It is essential to apply the skills learnt from videos. The programming assignment should be made graded and its comments should be descriptive as well.
교육 기관: Lautaro R S•
May 04, 2020
Not as good as the previous courses of the specialization. It is not as engaging, maybe it is the lack of rated exercises, but maybe also the contents are not taught as well as previously.
교육 기관: Robert K•
Aug 18, 2019
Too basic for me. I was hoping for some nice hands-on Tensorflow (not Keras) tutorials. Some deeper modeling and understanding. Good for children :), although they now know more than me.
교육 기관: Purnendu S•
Sep 20, 2020
Good And Clear Lectures , But Programing Exercises Are Ungraded And The Week Quiz Questions Are Too Easy , I Felt Like Its Less Like Learning And More Like Rushing To Complete Course
교육 기관: 曹杰•
May 30, 2020
I got the basic idea behind the sequence models while lots of code shown in the course are used to deal with the text and prepare for the training, which leaves a huge knowledge gap.
교육 기관: Ankit G•
Jun 20, 2020
I guess there should have been a bit more explanation of the techniques used to provide a bit more understanding rather than just skimming from 50000 ft instaed of atleast 20000 ft.
교육 기관: Davide C•
Aug 03, 2020
Very superficial and requires no exercise to be solved so it is up to you to learn anything.
There are many topic that feel unfinished, many examples that are unsolved.
교육 기관: Piyush J•
May 10, 2020
There were some prerequisites of the course related to deeplearning, which should have been known, then the course would have been understood better.
교육 기관: Roberto F•
May 25, 2020
This course was really useful. You always work from a practical point of view, although there are not enough exercises to acquire a remarkable ease.
교육 기관: Adam I•
May 11, 2020
I was expecting a complete course to master tensorflow but Laurence barely taught tensorflow in this specialization. It was more of introduction.
교육 기관: Suhan A•
Apr 17, 2020
There weren't any graded Exercise like other courses, which would've made us think a lot more.
I hope they add graded exercise to this course.
교육 기관: Ana C P R•
Jul 02, 2020
It's shallow, does not explain some important concepts. Seems like it was explained on a rush, or didn't bother going more into detaisl.