Andrew is an amazing teacher. He explains CONV nets very well and intuitively. The programming assignments are well-structured, easy and hands-on.

Amazing course. It was a little tougher than the earlier courses, but Andrew made it wonderful as usual. Some really practical coding assignments.

My Special thanks to Professor Andrew Ng and Coursera team that allow me to got fourth certificate in Deep Learning. Best wishes for Coursera team

Be able to understand state of the art technique in object detection and recognition, also get to know a big picture of many architectures in CNN.

Excellent learning notes and explanation.

Improve the understanding on the state-of-the-arts in research and industry community

Strongly recommended

Very good lessons! And there are several useful case studies which can help you understand how to use convolutional networks for your own project!

A great course!!! Shows how to implement complex Convolutional neural networks and techniques for image detection, verification, recognition, etc.

The thing that sets apart this course is Andrew's explanation. It is intuitive and provides enough background to go deeper on your own if needed.

great course with some simplifications that help. I liked the projects and how the knowledge acquired can be applied the other day on my projects

Excellent lectures and practices. Systems are also very nice. It helps me to reconstruct knowledge and understanding deeper about CNN. Thank you!

very nice introduction to CNNs and its application to computer vision task, lots of thanks for Professor Andrew and Coursera platform, thank you.

don't know what to stay definitively I prefer to become a lifelong student on coursera rather then being a student at any university in the world

Very interesting course covers a lot of aspects of :

1) Object detection

2) Face recognition

Simple and easy explanation with great assignments.

Outstanding course with one of my favorite instructor. Helps a lot in understanding the basic concepts of ConvNets and advance concepts as well.

cool subject in artificial intelligence, computer vision taught from scratch, discuss lots of cv works based on papers and form scratch learned.

Great Course for intro in to CNN's, would have been even better if some unsupervised learning techniques like autoencoders & GAN's were included

I had studied about the topic at uni but I have discovered after taking this course that I was more interested in the topic as I thought before!

Muy bien explicado todo el material y los ejercicios realmente ayudan a entender de manera muy clara como implementar los modelos en la práctica

I love the programming exercises and the well-presented lectures! Andrew is really a good teacher that can simplify the complex concepts of CNN.

This course was a continuation of deep learning courses and is an very important cog in the wheel to learn the complete package of deep leaning.

Assignment for face recognition could be of more depth. Really loved the flow of the course and Neural Style Transfer assignment to be specific.

Andrew does a great job explaining the basics of ConvNets and their use in computer vision applications. This was a challenging and fun course!

A very good introduction to CNNs with an emphasis on implementing current state of the art neural network architectures in Tensorflow and Keras.

Very nice and intuitive course! Workloads are heavier than previous courses and each assignment notebook is carefully designed and instructive.

Fantastically designed course for any beginner to intermediate level. And Andrew sir's teaching is too good to be appreciated. Just loved it 😊