Andrew Ng
This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: – Understand how to build a convolutional neural network, including recent variations such as residual networks. – Know how to apply convolutional networks to visual detection and recognition tasks. – Know to use neural style transfer to generate art. – Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization. deeplearning.ai is Andrew Ng’s new venture which amongst others, strives for providing comprehensive AI education beyond borders.
Instructor Details
Courses : 4
Specification: Convolutional Neural Networks
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115 reviews for Convolutional Neural Networks
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 21 hours |
| Year | 2017 |
| Level | Intermediate |
| Language | Chinese(Simplified) ... |
| Certificate | Yes |
| Quizzes | Yes |
FREE
Mauro G –
A real great course !!!!
Vikas K –
Best explanations by Andrew Ng .
James R –
Great depth of concepts. Great course!
Joao G V –
In contrast to course 1 and 2, I’ve found the videos to be rather shallow (no pun intended), in the sense that, in my opinion, they haven’t explained thoroughly the techniques’ underlying mathematics.
Gabriele S –
I really appreciated this course because it proposes a wide range of methods to deal with computer vision problems. In my opinion, the best course of the specialization.
Gershom K –
Clear, straightforward explanations from the instructor.
Santhosh K B N –
excellent
Rahul K –
Things were really interesting..It would be great if there were some more topics and details of the model
MUHAMMAD M M –
So beautiful explanation about Convolutional Neural Network Architecture
Siddhi V T –
Made me confident about the concepts of convolutional neural networks. I think anyone who wants to learn about cnn with great and develop intuition must opt for this course
Rafael G M –
Good material. I recommend explaining YOLO with more conceptual depth
Gamage O I –
Really impressed. Assignments are very well designed and really interesting.
Karthik K M –
This is the best course for the convolutional neural networks . It will give a detail information about how CNN are going to work and about various techniques about CNN
Siddharth C –
Awesome teacher with great knowledge
Hidde R –
Didn’t pass because of an error by the course
saikrishnavadali –
very nice course!
Mohammad K –
Awesome as usual, thanks Andrew!
Sergio A R –
Crystal clear presentations and nice coding exercises. I learnt a lot. Thanks to Andrew and his team! Keep going with these courses, please.
Prince G –
Amazing course with great details. It would have been better if details of back propagations were also explained.
John T Z –
Thanks a lot for the knowledge and the hands on homework 🙂
Srinadh G –
Excellent overview of Convolution neural networks and how they are used for different applications. Enjoyed and learned a lot.
Alexander K –
Sometimes I had to close browser 1 2 times to make Kernel working during the submission of programming assignments. Interrupting or restarting the kernel was not helping. I’m sure it is not related to the course content, but just a technical issue,
Daniel A B –
great course
Abhishek B –
Really good indepth course with challenging assignments
Bence K –
The content of the course was perfect. But the support for the issues and the feedback for the forum threads is awful.
Gayatri G L –
Best experience.Broder my views and thinking.Happy to go in deeper and deeper.
ABDUL W M –
very systematic 🙂
Hector L –
I enjoyed this course. I learned a lot about Convolutional Networks and the assignments were very fun to complete. The assignments are difficult enough to lay the groundwork for the subject but you definitely need to take your time to understand and probably run experiments on your own. I loved the ResNet, YOLO, and Face Recognition assignments.
Jairo J P H –
El curso es muy bueno, particularmente estoy muy agradecido con COURSERA, por darme la oportunidad de hacer los cinco cursos de la Especializacion en Deep Learning con ayuda economica y permitirme tener acceso a este tipo de capacitacion y certificacion. Muchas Gracias&! The course is very good, particularly I am very grateful to COURSERA, for giving me the opportunity to do the five courses of the Deep Learning Specialization with financial aid and allowing me to have access to this type of training and certification. Thank you very much!
Gabriela M –
Amazing course as an introduction to the world of CNNs! Thank you Andrew 🙂
Martin H –
a great course on CNN, face recognition, trasnfer learning
Patrick C N –
Model implementation is abstracted in many exercises. Many helper functions are created to just make things work. TensorFlow feels a little foreign still, not enough of an overview. Higher level APIs like Keras and/or PyTorch might do better here instead of mixing in TF randomly
Ashwin A R –
This course was an excellent hands on with CNN’s. It provides a brief understanding as well as the implementation of these networks. I really enjoyed this course and the applications were amazing.
Paul –
interesting
Pratik G –
A very good application oriented course.
Angam P –
Excellent course content
Andrea L –
Fantastic course!!!
Adarsh K –
The best place to start Computer Vision! You’ll get to implement state of the art Techniques in CV, most with practical Application. The quizzes are very well designed and test your concepts. You’ll learn to use open source implementations and build on top of that as well. Wonderful Course!
Xiaolong L –
Excellent course! The programing exercises are both realistic and let you build (toy version) of state of art CV system. Many reference to heavy weight papers in the domain in the course, which student who really want to get into DL and CV can read and further expand their horizon.
MURALITHARAN S –
Thanks Andrew
Manish C –
Like always best course in computer vision by Andrew NG
Tarun R –
Excellent. Very complex concept of CNN and YOLO explained in very simple terms.
Mohamed A B –
best cnn course so far
Bjorn C –
Great class!
Khanh N –
Computer Vision has always been of great interest to me and this course lit up my way of approaching closely to become a ML engineer as of my dream.
Yu H K –
This module is very pragmatic in CNN usage.
Raj M –
Really concise and insightful course. The assignments and quizzes really help you recapitulate and better understand what’s taught in the videos. No complaints whatsoever.
DaesooLee –
very easy to understand and helped my understanding in Deep Learning based computer vision. Yet, this course will need to be updated with new developments in the future (to catch up with the trend).
Soner –
Programming assignments are basic than expected
Yini Y –
Everything else is perfect, except the W3 assignment submission took me 3 extra hours to be correctly graded (my results match the expected results, and I didn’t violate any rule that FAQ mentioned, but grader just gives 0. I read through the forum threads, tried all approaches, and finally get it passed after having Coursera helpdesk load a fresh notebook for me and type in all over again, a little bit frustrating).
Sreenivas N M –
Excellent course yet again. GAN and auto encoders could also be added here.
Prakash M –
Wonderfully designed course for beginners to know all about CNNs. Even experienced professionals can have all their concepts cleared not only in CNNs, but also in YOLO and it’s applications in object detection. Thank you very much Coursera Team for all your efforts in making this course accessible to thousands of aspiring data scientists.
Jay K –
If it’s Andrew NG its never less than a five star course.
K. V –
A great course! All about CNN in one place. Prof. Andrew Ng explained it all so clearly. Thanks to Coursera for offering this wonderful opportunity!
Wanda L –
Fantastic course about Convolutional Neural Networks! For me the best part of the course (and the specialization, too) is the assignment. You could hardly find a similar friendly, supported and easy to follow homework elsewhere in the world, even in some universities. Thanks to Andrew, and thanks to all teaching assistants in the community!
Galib M –
Thanks for another well organized course. It would be nice if there were more details about building and training the model.
Bhagirath K L –
A great course in deep learning
NAVEEN S –
Awesome content !!
J. F. R –
Great course by Prof Ng. I had taken his Machine Learning course a few years ago, so expected high standards of content and assignment preparation I was not disappointed. Staff is very responsive and helpful in forums as well. I highly recommend it. Taken as part of the DeepLearning specialization.
Kate S –
The material presented in the class is very interesting and useful. The explanations are clear and the examples are good, especially teaching us to use transfer learning based on pretrained models. The programming was very helpful. I couldn’t give a 5 though, because I spent so much time on the programming assignments due to errors in the assignments, the grader and the hints. Additionally the mentors need to monitor the discussions in the week’s section. Some students’ comments were helpful, but others were wrong and completely off the rails. Some mentor feedback would really have helped all of us.
Xizhu Z –
A lot of fun with real implementation of CNN
Adriano G –
Excellent course. Very thorough and approachable.
Jose P –
It took me a while to sit down, but honestly, this is a great course.
LE B G –
Top !
Jordi A C –
Very clear and enjoyable with the use cases I expected to see.
Mert C –
I don’t think anyone can find a better course online. Many thanks to Andrew Ng and everyone contributed this.
CLAUDIO G T –
Great course content!
Dibyajyoti J –
exceptional course !
Taresh R –
Excellent course for building the foundations of CNN
Simone V –
Good introduction to CNN!
Akash K V –
best course to start with
Chun Huang L –
This course teaches CNN from the very beginning to the most details. Its examples and assignments are very impressive for people to know what happen in the model and how it works for many different applications. I can realize most CNN related research papers after finishing this course.
Nik A –
very useful. course is very clear and Andrew is great as always
YeongHyeon P –
The video lectures are very nice to understand. However, the programming assignment should be replaced with the recent version TensorFlow. The provided documentation of the assignment can not be accessed. All of the good lecture. Thank you.
Aayush K –
Very well explained course with excellent quality of assignments.
Nikhil N –
A wonderful course! Both the lectures and the assignments and quizzes are very good and thought provoking.
Rahul M –
Very easy and interesting way to learn CNN!
Ignacio d G N –
Extremely insightful
Piyush K B –
Great course!! Made everything easy for learning such hard papers and concepts.
MUHAMMAD A T –
The visualization of content was amazing and it’s quit attractive
Andres A –
Andrew is an excellent teacher really. Quiz and Programming exercise were helpful to check the understanding on the topic. Overall it is a really good course to take.
David H –
It’s a great course to introduce into de Convolutional Neural Networks.
Camila B V –
Awesome, I loved taking this course, the way to explain the topics is the best. I enjoyed every part of this course and the most important part I understanded several concepts. The exercises and material class are really usefull. Congrats you’re the best.
Ignacio H M –
I finally understand YOLO! This course has the best material available on CNNs. Even though I come from a MSc in Computer Vision and Machine Learning, we didn’t have enough time to fully cover ‘complex’ architectures such as YOLO. Thanks to this course I feel more up to date in the Deep Learning field.
Craig O –
Informative and well structured as with the other courses.
MANOJ K –
Very good course.
Binjie L –
Really Informative, I wish there would be more practices.
Ignacio H M –
I finally understand YOLO! This course has the best material available on CNNs. Even though I come from a MSc in Computer Vision and Machine Learning, we didn’t have enough time to fully cover ‘complex’ architectures such as YOLO. Thanks to this course I feel more up to date in the Deep Learning field.
Adrian H –
Let down by a bit of video edit or lack of but another good course.
Glen K –
Fix the grader issues. Or at least give a bit more feedback from the grader. “You didn’t pass, please try again” doesn’t help. I’m sorry, but the last assignment of week 4 was really annoying. Even when you don’t make mistakes.
Daniel J R V –
Great stuff.
Rohit G –
A very coherent course, with a focus on the fundamentals, while showing the best practices in code. The wealth of knowledge present can only be appreciated over multiple readings and viewings.
Ahmed L –
Last and final course for me in this specialization! Great content
Achutha s –
good
Sajal C –
Its one of the tough course of this specialisation. Algorithms will not be covered much in depth however implementation details are very clearly explained. You can of course read the in depth details from the references of the research paper given in the slides.
Adriano C –
There are many things to improve in the programming assignment
Hind A b –
very informative course with real life applications. the explanation is very clear and i really enjoyed doing the practical assignments. the only downside is that choices on quiz is little bit confusing.
Suraj k –
The best course for learning CNN , it guides you from basics like various steps of CNN untill making exciting project like face recognition , NST, object detection.
Piyush K B –
Great course!! Made everything easy for learning such hard papers and concepts.
Soham B –
Amazing course on Convolution Neural Networks. It explains various CNN application in great detail.
Amit J –
Very thorough treatment of Literature. Andrew goes in great length to describe basics of CNN and then goes on to show the applications. Looking forward to RNN course.
Mohammad F K –
my feedback sometime i found difficulty in going to the assignment page.
James D –
Amazing course!!
Noor A –
Great introduction to the topic. For people who would like a case study oriented course this is it. The amount of content is also very impressive even if slightly dated. I have spent almost 2 years actively doing research and working with CNN’s but the course still had a lot to offer in terms of content. It would’ve been the perfect starter pack if there was a section on image segmentation. Maybe there could be a complete course on Ng just covering case studies and research papers. Regardless attending this course is a must. The assignments are well curated and I can image will be extremely forgiving towards beginners.
Roberto G –
very practical
Sathvik B –
helped me in some projects i did after this course
Aamir I –
ULTIMATE
David V –
I know CNNs!
Yunpeng W –
Great! I like this class very much!!
Jeffrey T –
The intuition and examples made this course easy to understand and learn. I loved how Andrew decomposed current published papers into an easy to understand format. All of the important points to remember were highlighted without wasting time on the minutia. Thanks for all the hard work put into the course.
Abdelrahman M –
Great course which explain everything you need with CNN
CK P D –
Thanks
Shawn –
Excellent course, hope it adds more instructions on tensorflow and keras. wasted a lot of times debugging programming exercise due to tensorflow functions and structures. but fun experience!
Clint S –
There were some technical issues with assessment in this one. It seems the motivation in those creating the assessment is dropping as the specialisation goes on
Akash D –
Thank You! Sir