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I gained a hand full of knowledge from this course.
This course has given me a very good insight into convolution neural network work.
I thank Laurence Moroney and Andrew Ng for this course.
KA
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Nice course. Even though I have previously done some projects using CNN and multi-class classification still this course let me to have an insight to how these APIs work. Keep Up The Good Work!!!!!!
By Toqa A M
•Apr 4, 2021
it was great course but I need some more details and the speaking was a little difficult as some of words are slang and the translation was so bad
By Subham S
•Dec 23, 2019
The course content was quite good and overall understandable but the exercises and quizzes were quite easy, they could have been more challenging
By Pray S
•Apr 23, 2020
The hand sign assignment need more explanation about using flow object from ImageDataGenerator since I just know only flow_from_directory object
By Jossent
•Feb 13, 2021
Learn a lot for CNN in this course, but require advance knowledge in Python & Numpy to understand the code as it was not explain in the course.
By Qu Y
•Nov 28, 2020
Exercise_4_Multi_class_classifier_Question-FINAL has problem if you entirely follow the tips, you can find the correct code in the forums.
By Gianluca T
•Sep 17, 2020
Very nice and interesting videos, cool concepts, amazing datasets. Exercises lack sometimes clear objectives, or provide unclear feedbacks
By Rodolfo V
•Jul 10, 2020
I guess one thing was not studied, the method .flow() which get the images generated by keras with the dataset labeled for the final test.
By Caroline B
•Jul 14, 2022
The tutorials were easy to follow and I think the assignments were nice because some parts were easy, but some parts had some challenges.
By Shubham S
•Dec 6, 2020
Lectures videos are amazing but the only problem in programming assignments. Programming assignments should have been properly designed..
By Abhiram
•Mar 12, 2020
More detail videos or links,examples for important techniques like dropouts and for like multi class classification which may be optional
By Madhu
•Dec 13, 2020
Content was great. It was insightful. However I felt, in few assignments, the instructions were misleading and took some to figure out.
By Ghifari A F
•May 14, 2020
The course is very useful for practical purposes. But this course didn't cover some advanced topics such as object detection and GAN.
By Nikos R
•Oct 19, 2020
Very good course to get you started on convolutional neural networks. Week two had a small problem with the programming assignment.
By Brian ( B
•Oct 23, 2019
very practical courses on implementation of CNN in tensorflow. Suggest student also take the deeplearning series with this series.
By Revant T
•May 20, 2020
Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.
By Hang N
•Feb 26, 2020
This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.
By Parikshit N
•Jul 12, 2021
Good content and Lawrences technique was great. But it took a bit longer where assistance was required during assignments.
By Przemysław D
•Sep 27, 2019
Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.
By Kaustubh H
•Jan 1, 2023
The Course is amazing , But the voice of the instructor is bit low ,I would suggest to improve the loudness of the voice.
By Aria K N
•Aug 23, 2022
Some of the preprocessing required during the excersize were really tough. It'd be helpful if I got a little more hints.
By Balaji K
•Aug 7, 2020
Short, crisp and to-the-point discussions... Complex practice exercises designed as easy ones for learners. Well done !
By Bhabani D
•Jan 5, 2020
Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.
By Ricardo F
•Mar 31, 2020
Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!
By Benjamin S
•Oct 12, 2020
A lot of learning material to digest but at the the end of the course you really have the feeling you've progressed.
By Ibrahim M
•May 5, 2021
Programming assignments need a little more comments and illustration to save more time. But it still amazing course