MS
12 de nov de 2020
A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!
JM
11 de set de 2019
great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.
por Alejandro B G
•3 de set de 2019
Google colab system for tasks is pretty bad, no control on the tasks plus it erases and u can't prove you did the work unless you save it
por ABHAS B
•9 de abr de 2020
The course content is excellent. The talks with Andrew are inspiring, but the assignment graders are aweful and a big turn off.
por Ameya D
•17 de jun de 2020
This course is more of hands on activity in tensorflow. You need to have good understanding of CNN prior to doing this course.
por Amit C
•18 de mar de 2020
Content is very limited.I wish they could have gone in-depth covered more areas of CNN like object detection ,segmentation etc
por Jingwei L
•30 de ago de 2019
The course is taught excellently. However, there are overfull file stream operations in Python that the course does not cover.
por Harri V
•26 de jan de 2021
Week 4 final assignment was quite bad, because there was new Python/Numpy stuff which was not covered at all in the course.
por Marc-Antoine G
•13 de nov de 2019
Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.
por Samuel K
•2 de nov de 2019
Clear explanations. Good sample codes. Too easy. Doesn't go deep enough in terms of theory. Exercises should be mandatory.
por Daniel D
•26 de mar de 2020
Pros: the course teaches CNNs clearly and concisely.
Cons: the memory issues on the last assignment wasted a lot of time.
por David H
•16 de nov de 2019
Not solid enough and the exercise could be more organised. For example: some of the data downloading links didn't work.
por Shreenivas
•22 de dez de 2020
Good content. The coding and assignments need significant improvement. There is no support whatsoever in assignments.
por Sailesh G
•2 de nov de 2019
Expected a lot more in this course from the Tensorflow specialization. Something that'd take us beyond tf.keras.
por Daniel Y
•27 de fev de 2021
Disappointing. This is more like Python course. Deep Learning specialization CNN course teaches you x100 more.
por Mohammed F
•6 de jul de 2019
Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.
por Alexey V
•22 de nov de 2019
complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.
por Shubham A G
•25 de ago de 2019
Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.
por Frank W
•17 de jul de 2020
The programming tasks are not very helpful. The main difficulty is that unknown methods should be used.
por Michael E
•14 de fev de 2020
Would like to have seen some information on techniques such as batch normalization and residual layers.
por Apichart L
•5 de jul de 2021
Not well-design, it is very light information and knowledge to learn, unlike the #1 introduction.
por Nahum P
•22 de set de 2020
Final work had almost no connection to what you learned during the course.
Not enough hands on.
por ROSS
•15 de out de 2021
The knowledge taught in the course is over-simplified. The assignments are not well-designed.
por Geoff G
•17 de ago de 2020
The topics are explained very briefly.There is no in depth coverage of the mentioned topics
por Yu S C
•26 de jun de 2021
I dont think this course is very helpful in terms of price/how much you can learn.
por Leon L
•11 de jan de 2022
Lectures are good but final exercises need to be updated and explained properly.
por Sajal C
•31 de mar de 2020
Course is good however there can be programming assignments for better practice.