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.
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!
I learnt a lot of augmentation and image processing methods using tensorflow and several other tools for computer vision applications.
por Houssem A•
The course is well structured and explained from trainer I feel that I have more information and get knowledge in tensorflow practices
por 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.
por 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.
por Pablo C•
Excellent explanations, and a lot of interesting and practical examples. Recommended if you have some experience with ML literature.
por Aguirre M•
Excellent hands on course... if you have previously taken a more theoretical neural network course (for example Andrew Ng's classes)
por Prashant J•
It's been a great journey about Convolutional Neural Networks. The most interesting thing of these course is Exercise on notebooks.
por 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.
por Selçuk K•
Great course. Thank you, Laurence.
However, I should admit submitting the exercises is a pain sometimes. Discussions help though.
por Juan S•
Genial el curso. Muchos ejemplos prácticos y usables para todo tipo de situaciones. Me gusta mucho como explican los profesores.
por 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!
por 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.
por 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.
por 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.
por Dustin Z•
Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.
por Jay H•
It was a very helpful course. The discussions forum help a bit. Maybe, more questions asked or answers could help even more.
por 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)
por 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.
por Tze C L•
Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.
por Bonthu S•
Simply the best course to implement convolution neural network in tensorflow but don't look for deep understanding of CNN.
por Zarinah C•
One of the best online courses I've taken. Well explained, accessible, and references so that you can deep dive as needed.
por SRIKANTH T•
the course in nice , the explanation given by Laurence Moroney is excellent , so the course is highly recommended to take
por Gogul I•
Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.
por Márton B•
I think this is a useful, understandable and practical course. I liked it. The codes in Jupyter notebooks are very good.