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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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2176 - 2200 of 5,600 Reviews for Convolutional Neural Networks

By Alexandre F

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Feb 11, 2020

Comprehensive in-depth introduction to CNN & standard architectures

By Mohamed S R I

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Jun 7, 2019

I learnt a lot about the field of computer vision from this course.

By Anupam T

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Jan 31, 2019

One of the best i have gone through. Assignments are well prepared.

By Raj

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Jan 17, 2019

Most exciting and most challenging of all courses in specialization

By Akshat R

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Dec 22, 2018

Perfect to have an overview and focus on the specifics as required!

By Pramod K

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Sep 28, 2018

A great practical course to learn how to apply CNN to your problem.

By Dalai Y

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Sep 18, 2018

very good introduction course, a bit harder than the course 1, 2, 3

By Akshay J

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Sep 15, 2018

Fabulous course. Helped me a lot in understanding CNN nitty-gritty.

By Andrew B

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Sep 8, 2018

Interesting course on CNN. Information is presented in nice manner.

By Amey N

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Mar 26, 2018

Good introductory course. Exciting applications in the assignments.

By Anubhav B

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Mar 6, 2018

Best course till now. Learn a lot of things. Thanks Prof. Andrew Ng

By RB

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Feb 25, 2018

Great course on the revolutionary CNN method for image recognition.

By Prashanth M C R

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Jan 2, 2018

Excellent content. Andrew does a great job explaining the concepts.

By Sanchit

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Dec 18, 2017

Andrew NG at his best! Really un-complicates such complex concepts.

By avidor g

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Dec 7, 2017

Harder than the previous courses and that's for the better. Thanks!

By Joel O

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Dec 4, 2017

This course is one of the most fascinating I have ever come across.

By Shaojun Z

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Nov 29, 2017

Overall, the course is great. But the exercises have some mistakes.

By Kuong I L

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Nov 26, 2017

Thanks for the well-prepared course. I learn a lot from the course.

By Xianmin “ C

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Nov 25, 2017

Well structured lectures and nice project design for online courses

By Rybakov O

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Nov 13, 2017

Great introduction, helpful homework, I really enjoyed this course!

By 董川越

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Jul 21, 2023

cover various topic in CNN, hope to update with state of art model

By Justin H

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Jun 11, 2023

Insane! Not only has the gradients exploded. my head as well...

By Sanchit V P

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Dec 25, 2021

Must do course to learn CNN, Object detection and Face recognition

By Puran D

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Apr 1, 2021

This course is very useful to learn Convolutional Neural Networks.

By Luis F S B

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Sep 21, 2020

Excellent and dynamic formation! I have learned and enjoyed a lot!