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Convolutional Neural Networks,

21,257 ratings
2,612 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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2,579 Reviews

By Abhinav

May 25, 2019

Well paced, and aptly structured. Also takes care of the diverse toolkit necessary to be developed. Lecture references are great too.

By Srinath Goud Vanga

May 24, 2019

Although this course isn't complete for practical purposes, it gives a comprehensive review of CNNs and all the other things required for starting with computer vision systems using deep learning.

By Khosro (Roy) Pichka

May 24, 2019

Good course but sometimes confusing homeworks!

By Md Fahim Sikder

May 24, 2019

The way Andrew Ng teaches about the convolutional neural network is unparalleled. This course will help you to go deeper into the world of computer vision.

By Kelvin Ortiz

May 24, 2019

Loved this course so much because it was challenging

By Mouadh Addassi

May 24, 2019

Very nice course. The coding exercises code be more clear and the grading system needs some work!

By 김화겸

May 23, 2019

I love so musch andrew ng!

By Sasikumar Gurumoorthy

May 23, 2019


By Aravindaraja Puthiyavinayagam

May 22, 2019

Excellent way of presentation, which even helps beginners to catch hold of the concepts.

By Nick Hall

May 22, 2019

Awesome course if you want to understand the basics of CNNs along with recent applications of these algorithmns.

As usual, both Andrew's material and his presentation style kept me both engaged and interested to a point that I got ahead of the weekly schedule...which is probably a good metric in terms of course success