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Convolutional Neural Networks,

17,230 ratings
2,237 reviews

About this Course

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....

Top reviews


Jan 13, 2019

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.


Nov 03, 2017

Wonderful course. Covers a wide array of immediately appealing subjects: from object detection to face recognition to neural style transfer, intuitively motivate relevant models like YOLO and ResNet.

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2,212 Reviews

By Javier Orozco

Jan 17, 2019

The course was very good and offered a nice sample of the state-of-the-art CNN models. I would improve the explanations regarding TensorFlow. Understandably, exercises cannot ask you to train a model from scratch as it takes too long. But when reading already implemented TF code, it's hard to understand some steps.

By Raghav Batta

Jan 17, 2019

This is a great course with a lot of useful content. The only reason I am not giving it 5 stars is that it was too packed. I would suggest Andrew and team to convert this course to a 6 week course instead of 4 weeks.

By Anand Vardhan Singh

Jan 17, 2019

The neural style assignment was way too hard though

By sai dharshan shanmugam

Jan 17, 2019

Little bit hard programming Excercise

By Kirk Brunson

Jan 17, 2019

Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.

By Raj

Jan 17, 2019

Most exciting and most challenging of all courses in specialization

By Miguel Angel Cotrina Espinoza

Jan 16, 2019

Excelente curso muchas gracias por impartirlo

By Michel d. S. Mesquita

Jan 16, 2019

One my favorite courses on Coursera!

By Neelakantan Mani

Jan 16, 2019

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

By Soroosh Rezazadeh

Jan 15, 2019

The course content is really good, well organized and presented. However, I received lots of (kernel) errors while working on the notebooks!