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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI

4.9
stars
42,232 ratings

About the Course

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

SH

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Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.

FH

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Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

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1576 - 1600 of 5,600 Reviews for Convolutional Neural Networks

By Shubhayu D

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Jun 22, 2020

There were quite a few problems with the assignments, as of June 2020. Excellent course otherwise!

By Simon B C

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May 26, 2020

Very good and especially interesting course! I can't wait to put the YOLO algorithm into practice.

By Michael D

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Jan 11, 2020

Excellent detail and filled a lot of holes I had from working on a graduate project using ConvNets

By Pavel K

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Jan 27, 2019

This course provides a great introduction to CNNs. Further, it nicely explains recent killer-apps!

By Satyam N

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Nov 13, 2018

Excellent course material. Provides help not in just CNNs but using them for Computer Vision also.

By Stanislau B

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May 19, 2018

This require to have more strong background in math, but it is really awesome. Thank a lot for it!

By Wei X

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Mar 8, 2018

as my experience from all other specialty courses, I learned a lot from this one. It's well taught

By Tomasz H

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Jan 14, 2018

Excellent material with great presentation by instructor to a topic with wide ranging application.

By Viktor B

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Dec 28, 2017

Content is very nice, but please polish the annoyances with the platform (esp. buggy assignments).

By Christophe K

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Nov 22, 2017

Deep insight in the state of the art CNN models, including the famous YOLO detection in practice!.

By Alejandro O G

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Dec 24, 2021

A quite complete course with clear state of the art examples, and interesting practical exercises

By Caleb S

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Oct 8, 2020

Very useful overview of how to set up convolutional architectures in your deep learning projects.

By John M

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Sep 4, 2020

I felt like I learned very up to date material given the recent success of networks such as YOLO.

By Helmuth T

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Jul 19, 2020

Excellent course. Explains the basic concepts of CNN and then taps into state-of-the-art models.

By Manoj T

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Jul 7, 2020

I have learnt many things from this CNN course. Thanks to Coursera team for the wonderful course.

By Fredy A O L

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Jun 16, 2020

Es un gran curso, la verdad ya tengo idea y entiendo como funcionan más las redes convolucionales

By 羅翊誠

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Mar 22, 2020

Very great experience of computer vision!Lots of interesting DL/CV information is in the course!

By Ahmed S S A

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Jan 12, 2020

It is really a great course, and i am sure it will benefit me in my career in Autonomous Driving.

By Shahriyar R

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Oct 18, 2019

Practical aspects are powerful in this course, especially the inline code explanations are great.

By Jamil H

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Sep 16, 2019

A very useful course covering theoretical and practical approach of convolutional Neural Networks

By Kirk B

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Jan 17, 2019

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

By Brandon d T

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Nov 26, 2018

Great, interactive course. Learned a lot and there were a lot of relevant real world applications

By Man M S

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Nov 25, 2018

Very good course. It gives lot of technique and ideas that will help in solving complex problems.

By Carlos H B

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Nov 12, 2018

Excellent course.. Andrew and his team know how guide this complex subject to us. Great exercises

By khaled a

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Oct 22, 2018

thanks for the fourth time to coursera and donors for the financial aid and andrew for the topics