FQ
Oct 26, 2023
I already had some theoretical background from the Deep Learning Specialization from Andrew Ng, but with this course, I feel much more confident about building real-world applications with TensorFlow.
DB
Apr 24, 2023
The course is well structured, NLP is considered tough but everything flows pretty well and looks easy.
Thank you DeepLearning.Ai, Laurence sir and Andrew NG sir for creating this beautiful course
By Thusitha C
•Aug 1, 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.
By 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.
By Hector B
•Jun 6, 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!
By Pandu D
•Oct 15, 2021
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().
By Reem
•Apr 1, 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.
By Chid
•Oct 25, 2020
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".
By 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.
By Pang C H J
•Apr 13, 2021
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.
By Haikal A
•Apr 5, 2021
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.
By Lautaro R S
•May 4, 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.
By 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.
By Andreas F
•Jan 14, 2021
Overall a good course. Would like to see more commentary in the notebooks though. Furthermore, in my opinion, no Python2 code or deprecated functions of keras/tensorflow should be used
By 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
By 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.
By 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.
By Naveen D B
•Aug 17, 2021
Lack of programming assignments makes this course not highly rated in my opinion. You might as well watch the videos on YouTube or audit courses to get the same information.
By Phung T
•Feb 19, 2021
The first two courses of the series were awesome, but this course is quite a let down imo. There is no graded lab, the content feels pretty rush and it feels quite lacking
By Soeren K
•Jan 30, 2022
No final assignments, therefore very easy to workthough from a high-fly-perspective. If you want to learn a lot, not very helpful. If you want to get a overview its nice.
By David R C S
•Jan 6, 2021
Good course to introduce to the NLP world, but it lacks explanations, so you have to complement this with other sources even for understanding what you are doing here.
By Davide C
•Aug 3, 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.
By 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.
By 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.
By Adam I
•May 10, 2020
I was expecting a complete course to master tensorflow but Laurence barely taught tensorflow in this specialization. It was more of introduction.
By 이그나티우스이완[재학 / 산
•Feb 15, 2022
This course is great for overview, but the examples were too few and lack mandatory assignment which can provide me an objective to learn more
By 4SF18IS103 - S 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.