Sep 12, 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.
Mar 15, 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..
por Gerardo S•
Sep 27, 2019
the last exercise needed a big upload, made it imposible (for me) to do. This was a problem not related to the subject, should use data downloadable directly from internet.
por Super-intelligent S o t C B•
Aug 10, 2019
Very good course that teaches you basics of convolutions, augmentation, transfer learning. Thank you to Mr. Moroney and the Coursera team for making it available.
por chaitanya m•
Apr 15, 2020
The best course to do. Especially after the specialization course from Andrew. It is really helpful to code all the concepts you learned from Andrew course.
por Ujjwal G•
Nov 16, 2019
I think most much of the course conent was same as the first course, this course could have been a little more advanced. But overall a great place to start.
por 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
por 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
Mar 12, 2020
More detail videos or links,examples for important techniques like dropouts and for like multi class classification which may be optional
por 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.
por Brian ( B•
Oct 23, 2019
very practical courses on implementation of CNN in tensorflow. Suggest student also take the deeplearning series with this series.
por Revant T•
May 20, 2020
Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.
por Hang N•
Feb 26, 2020
This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.
Sep 27, 2019
Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.
por Bhabani D•
Jan 06, 2020
Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.
por Ricardo F•
Mar 31, 2020
Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!
por Jose Q•
May 01, 2020
Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.
por 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
por Kevin H•
Apr 12, 2020
End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.
por Carlos D R•
Feb 14, 2020
Es una gran continuación al curso anterior. No se puede hacer sin haber hecho previamente el otro curso
por Dr P M P•
Dec 19, 2019
Course is good to start but it should include other aspects of neural network than image processing.
por Ana C•
Jan 25, 2020
Very interesting course. I've learned a lot. I would like to have a little more advanced topics
por Yuliya M•
Jan 06, 2020
It's a wonderful course! Pity that the data for the fourth exercise are not available anymore.
por Dr. H H W•
Sep 06, 2019
Great insight for the practical aspect of TensorFlow, add value on top of Andrew's DL courses.
por Andy L•
Mar 23, 2020
A lot of repetition. Stack traces, and error messages in the notebooks are less than clear
por Fadhel A•
Jan 25, 2020
I hope it will be upgraded with graded weekly test (case study and building some models).
por Marcos V G J•
Sep 25, 2019
Good content, but lacks exercises that forces us to code ourselves to solve the problemas