PS
Jan 6, 2023
I would highly recommend this course for someone who wants to get started into Deep Learning using TensorFlow. Do remember to work on some new projects after finishing this professional certificate.
AS
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?
By Saeif A
•Aug 19, 2019
I faced many problem with the grader. Please fix it. You can see from the forum that are many people facing problem with it.
By Clay B
•Jul 15, 2019
Decent overview, doesn't go too far in depth in anything - provides some links to deeper material but doesn't touch on them.
By Meet D
•Oct 5, 2020
I learned overview of TensforFlow librarby and convoluation layer. Know about classification in computer vision application
By 曹杰
•May 12, 2020
good set up of examples that allow you to go from the simple case to more advanced cases. a good start point for beginners.
By Dirk H
•Nov 6, 2019
The class is good for persons who are new to Data Science and want a practical entry but does not go very deep into theory.
By YASH R
•May 7, 2020
Week 4 was not explained as good as other. I still face the problem with the cocept of week 4. Rest everything is great.
By Shabab H
•Jun 1, 2019
Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.
By Bishmer S
•Jan 6, 2021
Brilliant introduction to the topic sadly let down by bugs and errors in the Jupyter notebooks.
Still well worth taking.
By Jayanta S
•Jul 4, 2020
The course in itself was great and the exercises were easy. But the sound quality in the videos should have been better
By 고종경
•May 7, 2020
this lecture provides a good starting for learning Tensorflow.
there are good exercises with doing actual python coding,
By René P
•Apr 16, 2020
Had some problems with the automated graders. I had to remove two JS cells from each exercise to get a correct grading.
By Mayukh S
•Oct 13, 2019
It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.
By Matt P
•Sep 29, 2019
Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.
By Phatarapran S
•Aug 9, 2020
Some theories arent explained but overall, as a student, I obtained some experience on making a NN model by tensorflow
By Noel B
•Oct 21, 2019
The content of this course is fantastic. The only reason for a four-star review is due to the troublesome auto-grader.
By Kofi D A
•Jul 16, 2019
Always amazed at what coursera has to offer..if anything it has given me purpose as to what i want to pursue in future
By Franky L C H
•Apr 25, 2019
Very easy to understand the contents especially using the high level API such as Keras. Very recommended for beginners
By Aviral T
•May 6, 2021
such a nice course to learn about tensorflow. i used these knowledge o enhance my technical skills as a ML programmer
By AADITYA K
•Dec 20, 2019
Good course for beginners. Althoug best resuts will be for those who have come through Andrew Ng's inintial DL course
By Carlos R
•Mar 20, 2020
In general the course was nice. I just got some issues dealing with TF 1.x and 2.x. Anyway, I recommend this course.
By Pooya N
•Dec 27, 2019
I thought this course is more focused on the basic elements of TensorFlow, but it was very heavy on computer vision.
By Daniel P G
•Sep 5, 2019
Very beginner friendly. Evaluation task could be a little more challenging than just copy-pasting the example code.
By Radoslava M
•Aug 27, 2019
It is good, only it starts very basic and later assumes a lot of previous knowledge. But overall very informative.
By Alexander B
•Mar 17, 2019
I liked the course as it is practice oriented, but 4 weeks is too long for it. 2 weeks would be more than enought.
By Greg K
•Apr 13, 2020
There are some issues with code in the graded Juypiter notebooks that keeps the grader from compiling submissions