MS
Nov 12, 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!
RB
Mar 14, 2020
Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..
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 2, 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 6, 2021
Programming assignments need a little more comments and illustration to save more time. But it still amazing course
By Wiput T
•Jul 29, 2020
It the great course and good explainataion. Tensorflow 2.0 is quite good for quick development tool for AIT project
By Brian D O
•Mar 11, 2021
The lectures are great but some of the programming assignments deviate from the code taught and lack guidance.
By Josian Q
•May 1, 2020
Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.
By Jaap d V
•Mar 11, 2020
Thank for a great course. Please make the code samples it work for TF2.X the TF1.X has run out of shelf life
By Kevin H
•Apr 12, 2020
End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.