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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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1976 - 2000 of 5,600 Reviews for Convolutional Neural Networks

By Zahra K

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Dec 17, 2021

Thank you a lot, I have had good experiences in this course and learn a lot.

By Neel K

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Oct 28, 2020

Hardest course till now. Contains very good learning on Keras and tensorflow

By arpan p

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Sep 17, 2020

I would have even more satisfied if I get to train the triplet loss function

By Nelson J B F

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Sep 16, 2020

An excelent course!!! Congratulations and acknowledgment to the teachers!!!!

By Daniel D H

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Sep 5, 2020

Excellent depth to go on convolutional nets and all related topics.

Congrats¡

By P H V R

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Jul 30, 2020

Very Interesting course and I have learnt a lot of new and interesting stuff

By Artak K

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Jun 23, 2020

Very good combination of theory and practice. Overview of modern algorithms.

By Abhishek P G

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May 29, 2020

great learning through notebook ,understanding of concepts like ANN,CNN,RNN

By Renato

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May 27, 2020

This class is dense, it is well structured, it teaches you a lot. Thank you.

By Omega I

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Jan 26, 2020

Really impressed. Assignments are very well designed and really interesting.

By Trang N A T

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Jun 13, 2019

Assignment in week 4 have some annoying problem. Other things are excellent.

By KIM Y

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Apr 23, 2019

through this lecture, i could understand convolutional neural network easily

By Arunachala S

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Dec 4, 2018

Enjoyed the videos, Quiz and assignments and its pretty good and informative

By Beda K

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Apr 22, 2018

Great course with a lot of interesting and state-of-the-art content. Thanks!

By Alamath C

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Mar 26, 2018

Another great course. I learned the material in the shortest possible time.

By Muhammad U A

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Mar 23, 2018

This is best course in order to learn how constitutional neural network run.

By Cosmin M

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Jan 24, 2018

I've already used some of the learned CNN architectures in a recent project.

By Matt S

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Dec 27, 2017

Such a great course! The most clear illustration for CNN in the whole world!

By Salvador

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Dec 6, 2017

Good as always but had a few problems with the gradings, take it as a 4.5 :)

By Nikita T

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Jun 4, 2023

Great course! Thank you very much for sharing the knowledge with everybody.

By Simbarashe M

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Apr 15, 2023

I highly recommend this course for any who is interested in computer vision

By Ovidiu M

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Sep 5, 2022

Excellent course, I learned so many things about CNN. Thank you, Andrew Ng!

By Reza Y E

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Jan 13, 2022

A Beautifully laid out, comprehensive, worth-your-time and essential course

By LAVANYA K A

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Jul 2, 2021

This was one of the toughest courses in this specialization. Enjoyed a lot.

By Emanuel I A P

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May 30, 2021

Very complete and nice course, I would like some pdf text material as well.