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

4.9
stars
42,533 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

FH

Jan 11, 2019

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.

NK

Jul 10, 2024

Fabulously designed, I could confidently say that the programming exercise is sufficiently sophisticated, and yet managed to be not so difficult as to deter new learners. All in all a great course!

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2551 - 2575 of 5,638 Reviews for Convolutional Neural Networks

By Eduardo

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Jan 25, 2018

Great course on computer vision and machine learning.

By Bryan W

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Jan 24, 2018

A good course for learning the recent CNNs available.

By Gerard F

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Jan 21, 2018

Fantastic course - I can't recommended highly enough.

By Esmaeel H

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Feb 22, 2024

These Deep Learning courses are great for beginners.

By Asitha L K D M

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May 5, 2021

Thank you all for giving us a well-organized course.

By Vanamadi G

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Sep 8, 2020

Thanks Andrew NG for this course among this pandemic

By Arpad H

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Jul 25, 2020

I like the course very much as I like Python itself.

By ANURAG A J

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Jul 23, 2020

A very informative course with deep intuition of CNN

By Anshuman F

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Jul 12, 2020

Amazing explanations with references to good papers.

By Martin K

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Jun 18, 2020

Excellent course for getting into the theory of CNNs

By Aunkit C

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Jun 2, 2020

Amazing course. Forever grateful to Prof. Andrew Ng.

By JARMOUNI A

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May 10, 2020

Great course, I learned so much from it. Thank you !

By Taresh R

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Mar 22, 2020

Excellent course for building the foundations of CNN

By Deleted A

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Jan 14, 2020

Very good mix between theory and practical examples!

By Ahmed W S

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Jan 10, 2020

Amazing course having state of the art technologies.

By Luis E G

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Jan 3, 2020

This course is excellent. Do not hesitate to enroll.

By Ashok B

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Nov 27, 2019

very high quality course, won't get better than this

By Pranjalya T

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Aug 6, 2019

Very well explained, and good hands on projects too.

By Kelvin O

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May 23, 2019

Loved this course so much because it was challenging

By Deleted A

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Apr 9, 2019

this is the best to clarify basic concepts about CNN

By Vikas K

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Feb 27, 2019

thank you andrew for thing great knowledge sharing .

By Terry Z

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Sep 6, 2018

very useful courses covering the state-of-art models

By byehero

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Jul 30, 2018

CNN is my favorite course ! I like computer vision.

By XIAO N (

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May 16, 2018

Very practical materials that help to understand CNN

By Harish K

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May 4, 2018

Made even the hardest concepts simple to understand!