NP
Feb 3, 2021
It is advanced TF specialization and the way contents are presented in the course are very systematically. Definitely recommended for developers already familiar with TF and wanted to explore further.
MS
Nov 24, 2020
Really great course, it teaches you all about the TF API and how to customize it for your needs, i thought only pytorch can make that as it's really pythonic, but i am a nieve noob what can i say.
By Jeganathan V
•May 20, 2023
Great course
By Abhisek G
•Apr 5, 2022
Absolute gem
By Hoang D
•Nov 19, 2021
very helpful
By Farhad A
•Jul 29, 2021
Really Nice!
By Md. F I
•Mar 25, 2021
Fine course.
By Socrates M
•Mar 2, 2021
10 out of 10
By Hùng B Q
•Sep 18, 2021
nice course
By phát t
•Jul 26, 2021
fantastic!
By Vijay K V
•Jan 1, 2023
Awesome !
By kingjs
•May 3, 2022
very good
By Javier B
•Jul 6, 2021
very nice
By Bashar A
•Mar 16, 2021
Legendary
By Ariel H
•Jul 11, 2021
Love it
By Muhammad K I
•May 24, 2024
awesome
By Justin H
•Jul 17, 2023
Brutal.
By Mogilevskii K
•May 22, 2021
Concise
By omid S
•Mar 27, 2021
perfect
By Ariz M
•Jul 31, 2021
Great!
By Data I M
•Jun 1, 2023
good
By Lalatendu P
•Mar 20, 2022
Good
By Chamika G
•Aug 13, 2021
Best
By Ignacio L
•Apr 9, 2021
GREAT ONE. You will be getting better in some things thanks to this course, like object encapsulation , remembering fowar and back prop etc. I still want more freedom trying to use this tools in a challenging way. Like Kaggle does. Its too much info to get it right and know one is worth using. I woudnt change what there is, but I would add a final lab with a more open ended result.
By Alexander O (
•Jun 13, 2021
The course is great for Tensorflow beginners. Unfortunately it provides only a superficial description of custom layers, covering only simplest one-line computations. Models covered in the course labs do not support summary() methods. I would like to know from the course how one would create full-fledged Tensorflow/Keras models that support all standard methods.
By Amit H
•Oct 16, 2022
A good course to refresh the DL concepts in Tensorflow language. It is still a basic course so don't expect novel ML material from it. But it's good to understand TF code that you many encounter and convert PyTorch code into TF. Combined with other advanced DL theory, we can write TF code which creates complicated models.
By mohit d
•Sep 10, 2021
One of the best course on custom Models and layers . As we all know importing a layer is an easier task it just includes a line but making our own models and layers is something which I always wanted to learn and I would like to say this course completely justified it