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..
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.
The course is very great! You can see how convolution works, image processing, transfer learning and so on. Thank you teachers!
автор: Norifumi I•
Although the topics are getting more complex, I liked how the lecturer keeps it simple and relates each data to the real world.
автор: Akhil K P•
This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.
автор: Gustavo A•
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.
автор: Dustin Z•
Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.
автор: Jay H•
It was a very helpful course. The discussions forum help a bit. Maybe, more questions asked or answers could help even more.
автор: Diego O S•
Really clear and with the exact amount of examples. (I would like to see more examples and not only the ones seen in class)
автор: VAGHELA H N S•
course is well designed. The codes and notebooks provided in the course can be very much helpful for any beginner to learn.
автор: Lee T C•
Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.
автор: SRIKANTH T•
the course in nice , the explanation given by Laurence Moroney is excellent , so the course is highly recommended to take
автор: Gogul I•
Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.
автор: Carlos S•
Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization
автор: George D•
Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.
автор: Rukshan J S•
Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!
автор: Sanjay R•
A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.
автор: sushant p•
Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!
автор: Akash S•
Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!
автор: Satyam s•
This course has been starting point of my deep learning carrier,
I have learned a lot from this course.
Thanks so much.
автор: Pushpak G•
Again a good course which covers a lot of practical implementation of Conv nets and image classification.
автор: Laode M F•
Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.
автор: Peter L•
Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.
автор: Tarin N•
This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.
автор: Ga W•
a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.
автор: Harish S•
Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.
автор: ANMOL J•
Amazing and in-depth course on implementation of methods like augmentation and transfer learning in Tensorflow