2019년 8월 26일
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!
2020년 7월 21일
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: Brian D O•
2021년 3월 17일
This course is out of date and not as polished as the Deep Learning specialization. Data urls in the notebooks are broken. The quizzes are mostly random parameter names that you would google if you needed them, and the week 4 quiz actually has duplicate questions from week 3. The coding exercises are not graded. I did them anyway because I want to learn, but I also want to be challenged and want a certificate that conveys rigor to employers.
교육 기관: Ravi V K•
2020년 4월 7일
This could have been some more intense with 2 quiz in each week (1 or 2 tough questions), giving a written explanation of what a code snippet is meant for or each line of code is meant for, spend time on explaining fundamental concepts. Highlights of course, clear and crisp in explanation of concepts and functioning of code. overall, coherence is well appreciated.
교육 기관: Rajesh R•
2021년 6월 20일
The models developed in the course of the instruction were pretty useless. The instructor didn't discuss enough about how these models could be improved. The content of the course doesn't allow you to actually take on proper NLP and deep learning projects in industry. The demands of the industry are quite different from what's covered in this course
교육 기관: luis a•
2019년 10월 11일
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•
2020년 4월 19일
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•
2020년 4월 12일
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: Giorgos F•
2021년 3월 4일
A good course overall, however the explanations offered on convolutions, LSTMs, GRUs were a bit poor. I know it is beyond the scope of the course, but it will help the student to know what an LSTM is overall and what is the meaning of different arguments (i.e., the `return_sequences` argument in LSTM class).
교육 기관: janmejay b•
2020년 9월 18일
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•
2020년 6월 27일
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•
2020년 4월 20일
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: J E•
2020년 5월 2일
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: Ramón W•
2021년 10월 13일
The length of the videos is fine. Personally, it bothered me that there were no programming tasks, the quizzes were too short and some of the questions were repetitive. I would have liked to see programming tasks, more quizzes and also intermediate questions in the videos.
교육 기관: Rajat Y•
2019년 11월 30일
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: Ignacio L•
2021년 2월 12일
the lack of graded exercise makes this course somewhat messy. Many of the codes that are given to analyze don't work on the go. The back and forth between sets and cases of classification in my case at least, did not help to fully grasp what was going on.
교육 기관: afshin m•
2020년 1월 17일
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: Peter-John H•
2021년 10월 2일
This course did not require lab submissions which I really liked because it coerced and helped me by providing an objective to learn more. It also introducted topics such as LTSM, Global average pooling and regulizers which I feel were too rush
교육 기관: Thusitha C•
2020년 8월 1일
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•
2020년 5월 23일
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•
2020년 6월 6일
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: Pandu D•
2021년 10월 15일
Please give an explanation for each code in colab like in teh previous course. Moving between expalantion video tab and colab tab was troublesome. Moreover, there are some labs that contain an error which is predict_classes().
교육 기관: Reem•
2020년 4월 1일
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: Chidvilas K R•
2020년 10월 25일
There was no continuity in the videos. Felt it could have been much better. And the level of course is too low. You should change the title to "Basics of Natural Language Processing in TensorFlow".
교육 기관: Kaivalya B•
2020년 5월 24일
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: Pang C H J•
2021년 4월 13일
I tried the first ungraded exercise to tokenize, then realize the google colab doesn't have NLTK library (to tokenize) already installed. I then decide not to follow up with exercises later.
교육 기관: Haikal A•
2021년 4월 5일
This is a very good course for beginners, but this course only focused on practical examples. I hope there are more theory behind the course and also the more challenging grade assessment.