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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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1826 - 1850 of 5,600 Reviews for Convolutional Neural Networks

By William L C W

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Aug 16, 2020

The learning process and homework are sometimes challenging but always interesting.

By Arshad S

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Aug 14, 2020

Great course. All the complex concepts explained in a simple understandable manner.

By Md S H C

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Jul 19, 2020

This is the coolest, and also the hardest among the courses in this specialization.

By Nimisha V

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May 20, 2020

The course is very well structured. Many concepts are taught. It is a very helpful.

By Sagar P

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Apr 11, 2020

best course with complete details of working, maths and practical hand-on knowledge

By Harvey B C

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Apr 8, 2020

Really great course that gives you an excellent understanding of how ConvNets work.

By Mohammed Y M

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Feb 9, 2020

Excellent, as always.. I'm a fan of Andrew.. is there a cult i can join for it ? xD

By Claude C

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Nov 23, 2019

Great course! I've learned a lot. Thanks to Dr Ng and all the deep learning.ai team

By Gaurav R

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Jun 21, 2019

A very good and detailed introduction to state of the art deep learning techniques.

By Kyung M L

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Nov 20, 2018

I had a very pleasure time to know state of art image processing technique. Great!!

By Kazuki Y

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Jul 16, 2018

Great overview on how convolutional NN achieves what it does with fewer parameters.

By Mohammad R

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Jun 25, 2018

This course was very very useful and provides very keen insights into CNNs. Thanks.

By Ahmed K

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May 22, 2018

very powerful course with very broad coverage of latest techniques and applications

By Rishabh A

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Dec 2, 2017

What an awesome course, I have no words to express the debt of Andrew and Coursera.

By W G

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Dec 1, 2017

It is a good course and I enjoyed it a lot. Many thanks to the teacher and mentors.

By Yonas T

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Nov 26, 2017

Another outstanding course. Thank you Andrew Ng and team and the vibrant community.

By Ian H

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Jun 20, 2023

This is probably my favourite course that I have taken since learning about ML/DL

By Alexander T ( D

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Jan 5, 2022

Very nice, everything is clear! sometimes hard tasks by very interesting to solve.

By Bishnu P

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Dec 31, 2020

very detailed and the assignments are great.. I will definitely come back to those

By Neeraj K

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Nov 26, 2020

Very informative, and gives a great introduction to Convolutional Neural Networks.

By f B

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Oct 8, 2020

Very good course with good content. I'm very happy to continue with other courses.

By nasim a

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Oct 8, 2020

This course improved my knowledge in Deep Learning specially in Convolutional Net.

By Jorge M Z P

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Sep 11, 2020

Another great course of this specialization! Untill now, the most challenging one.

By Guillermo

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Aug 19, 2020

Nice course to put into practice the knowledge gained during the previous courses.

By Yang Z

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Jun 13, 2020

This is a more challenging course than previous 3. But definitely a rewarding one.