Mar 8, 2019
Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?
Aug 13, 2019
Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.
By Dmitriy S•
Nov 6, 2020
The lections were good enough, but the assignments are awful. In the first week, they say we can use TF 2.0, the Google Colab uses TF 2.3, the grading script accept only TF 1.14. I spent a lot of time only to figure out which version syntaxis should be used in order to pass the grader. That was awful.
By Kenny H•
Jun 14, 2020
Not going to lie, I'm pretty disappointed after finishing Andrew Ng's course and coming here for the next step. I feel like maybe Andrew raised my standards too high, but this course was extremely not begineer-friendly as an intro course, and I don't think I was able to pick up anything worthwhile.
By Jeremy O•
Jan 7, 2022
I have been a huge fan of the DeepLearning.ai specializations and content. This specialization is rough around the edges and really only scratches the surface. If this was the only content I had seen from them I would be left wondering what the heck I am learning and have no idea how it works.
By Oliverio J S J•
Sep 21, 2021
My feeling is that this is not a whole course but just one or two weeks that have been taken from a course. The contents are really basic, the quizzes are mostly trivial, and the exercises are mainly about rewriting fragments of code that they have already given to you in the labs.
By Adrian F•
Dec 29, 2021
I had previously done the deep learning course of deeplearning.ai. I expected this specialization to build up on it, but it rather seems to be a step back.
For me the course was to good to rush through it and just pick one or two new ideas. Hope next courses are better.
By Shahar M•
Apr 1, 2020
The professional content is very poor - it cover very little and only the very basic meaning is taught . I have expected a much more in depth technical learning and a little more theory. All the course taught is how to write 20-30 lines of code... disappointing.
By Jonas H•
Jul 26, 2020
Good course content 5/5 for it. However, the last exercise is prone to errors due to the system. There are many posts in the forum and none of them have a response by the staff. Considering this is paid content I'd expect staff to address the problems.
By Mojgan M•
Mar 28, 2019
The code in googlecolab was not organized well and the course content was so basic. I expected more from this course when I started as I took course of ML with Andrew Ng and expected the same level of quality but got disappointed.
By Katerina M•
Dec 2, 2020
Amazing lecturers and good structure thus 2* but the content would be 1* because it is far too basic and this certificate is unusable to show anywhere because of that. The tasks one up to 3 hours to accomplish it? 5 min max...
By Lukas S•
Jan 26, 2020
Introduction to Keras would have been a more appropriate title. A bit disappointed, that the course just scratched the surface of tf.keras instead of explaining more concepts of the (much bigger) tf library.
By Favour E•
Jan 4, 2022
I am having issues resetting my course deadline... It keeps saying this - Convolutional Neural Networks in TensorFlow
0No upcoming sessions are available. Please check back later.
what do I do?.
By Daleen v T•
Feb 24, 2022
the assignment submission is rediculous. in 37 tries surely my code is right somewhere along the line.
especially seeing as i get the right result every single time.
assignment 1 has bugs
By Artem R•
Oct 31, 2020
No theory at all. Not much explanation regarding TF classes, functions and their arguments. Just basics of TF. Most of the assignments can be solved with copy/paste from examples.
By Alexey V•
Nov 4, 2019
Just a brief introduction to TensorFlow, very basic and short on practical exercises. I literally copy-pasted texts from one notebook to another. Neither gives it a lot of theory.
By Jonathan P•
Oct 2, 2020
Programming exercises are quite sub-standard. Explanations in video lectures are too short and coarse. Andrew Ng's deep learning specialization far superior, stick with that
By Dan G•
Apr 20, 2020
The exercises are very repetitive and basically just copies of the notebooks in the course. There is no thinking required for this course. The material is very shallow.
By 18R11A04F1 C B•
Jun 11, 2021
not to bad mouth, but this course is good yet being a beginner I don't suggest it as most of the code here is taught like alphabet that has purpose but no sense
By Laha A•
May 10, 2019
I would say it is a introduction to Keras rather than Tensorflow. The course not really touch tensorflow, it all about the high level API which is Keras in TF.
By Maharshi R•
Sep 8, 2021
The grader is very buggy. Coded a 1-Conv2d & 1-MaxPool model and caused the grader to run out of memory. However, a more complicated model passes the solution.
By Mohammed E•
Apr 15, 2020
the notebooks have a poor explanation of what should be done and unless you delete the last two cells every time you won't be able to submit
By ELLEUCH H•
Jan 1, 2022
While useful, the experience with submitting the assignements was really inferior to what I'm used to with Coursera and DeepLearning.AI
By Prantik R•
Feb 18, 2021
This course needs to be more beginner friendly....it directly jumps to advanced concepts without clearing the intermediates
By Matthew R•
Dec 13, 2020
Really superficial overview of tensorflow and deep learning. Very few concepts were explained in any real depth.
By Suraj R•
Jul 18, 2019
Resources shown in the video were not included as web links, so the course couldn't be completed
By Rudrani G•
Aug 25, 2019
A little too complex for beginners. Content must be explained from a novice point of view