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..
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.
By Pablo C•
Apr 06, 2020
Excellent explanations, and a lot of interesting and practical examples. Recommended if you have some experience with ML literature.
By Aguirre M•
Mar 02, 2020
Excellent hands on course... if you have previously taken a more theoretical neural network course (for example Andrew Ng's classes)
By Prashant J•
Apr 01, 2020
It's been a great journey about Convolutional Neural Networks. The most interesting thing of these course is Exercise on notebooks.
By Loveprit S•
Jun 12, 2020
This course is useful to those who have basic understanding of computer vision and want to know how they can use TensorFlow in it.
By Selçuk K•
Mar 31, 2020
Great course. Thank you, Laurence.
However, I should admit submitting the exercises is a pain sometimes. Discussions help though.
Sep 24, 2019
The course is very great! You can see how convolution works, image processing, transfer learning and so on. Thank you teachers!
By Akhil K P•
Jun 22, 2019
This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.
By Gustavo A•
Aug 10, 2019
I enjoyed this course a lot, but I missed the code evaluation step. On the other hand, the content was as good as it has been.
By Dustin Z•
Jun 28, 2020
Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.
By Jay H•
Jun 16, 2020
It was a very helpful course. The discussions forum help a bit. Maybe, more questions asked or answers could help even more.
By Hiren v•
Jun 18, 2020
course is well designed. The codes and notebooks provided in the course can be very much helpful for any beginner to learn.
By Lee T C•
Jun 18, 2020
Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.
By Gogul I•
Jun 22, 2019
Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.
By Carlos S•
May 23, 2020
Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization
By George D•
Aug 09, 2019
Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.
By Rukshan J S•
Apr 27, 2020
Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!
By Sanjay R•
Jul 25, 2019
A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.
By sushant p•
Nov 23, 2019
Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!
By Satyam s•
Apr 18, 2020
This course has been starting point of my deep learning carrier,
I have learned a lot from this course.
Thanks so much.
By Laode M F•
Apr 26, 2020
Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.
By Peter L•
Mar 19, 2020
Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.
By Tarin N•
Jun 27, 2020
This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.
By Ga W•
Mar 18, 2020
a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.
By Harish S•
Aug 04, 2019
Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.
By Md R U•
May 07, 2020
Lawrence is an excellent teacher and you get to work on many diverse datasets which is always a good practice.