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!
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.
I learnt a lot of augmentation and image processing methods using tensorflow and several other tools for computer vision applications.
автор: Houssem A•
The course is well structured and explained from trainer I feel that I have more information and get knowledge in tensorflow practices
автор: Mohanad A N•
I hope all courses to be like this course or like andrew's ones. Very clear, easy to follow along, tons of info, direct to the point.
автор: Jorge M Z P•
A sequential and easy to understand course. Contains all the basics to learn how to construct and improve Conv Nets on Tensorflow 2.
автор: Pablo C•
Excellent explanations, and a lot of interesting and practical examples. Recommended if you have some experience with ML literature.
автор: Aguirre M•
Excellent hands on course... if you have previously taken a more theoretical neural network course (for example Andrew Ng's classes)
автор: Prashant J•
It's been a great journey about Convolutional Neural Networks. The most interesting thing of these course is Exercise on notebooks.
автор: Loveprit S•
This course is useful to those who have basic understanding of computer vision and want to know how they can use TensorFlow in it.
автор: Selçuk K•
Great course. Thank you, Laurence.
However, I should admit submitting the exercises is a pain sometimes. Discussions help though.
автор: Juan S•
Genial el curso. Muchos ejemplos prácticos y usables para todo tipo de situaciones. Me gusta mucho como explican los profesores.
автор: Pushkaraj J S•
Great course. Introduces you to various data generation techniques which can be really useful when dealing with smaller dataset.
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•
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: Tze C L•
Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.
автор: Bonthu S•
Simply the best course to implement convolution neural network in tensorflow but don't look for deep understanding of CNN.
автор: Zarinah C•
One of the best online courses I've taken. Well explained, accessible, and references so that you can deep dive as needed.
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: Márton B•
I think this is a useful, understandable and practical course. I liked it. The codes in Jupyter notebooks are very good.