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

4.9
stars
42,300 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

RS

Dec 11, 2019

Great Course Overall

One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

AV

Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

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1851 - 1875 of 5,610 Reviews for Convolutional Neural Networks

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.

By Lin M

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Apr 20, 2020

Awesome content! Andrew is really good at explaining some of the complex concepts.

By Sandro A

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Mar 16, 2020

Excelent course, insights gained in this course will help a lot to my goals future

By Debjoy S

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Jul 5, 2019

A very nice course especially for theoretical knowledge of how CNNs actually work.

By Kantharaju N

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May 5, 2019

Wonderful course, got very good insights of Object detection and Face recognition.

By Ramachandra R K

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May 2, 2019

Ver interesting course. The programming assignments are very detailed and helpful.

By Kyung M L

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Apr 27, 2019

practical usage of CNN with concrete explanation and exercise

Thank you SOOOO much.

By Bayartsogt Y

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Mar 4, 2019

This was such an interactive course. I hope many people should start learning this

By Adam D

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Feb 27, 2019

Andrew Ng explains thoroughly the state-of-the-art in object detection. Thank you!

By Jorge R C

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Sep 19, 2018

Amazing course with interesting coding assignments. Thanks to Andrew Ng professor.

By Abhishek M

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Aug 7, 2018

Superb content, lucid teaching designed for ease of grasp. Thanks Prof. Andrew Ng.

By PeiSheng S

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Feb 4, 2018

It's a very wonderful course, but I think it should contain more backward details.

By angelo a m

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Dec 15, 2017

Excelent choice for improving computer vision skills. From the basics to advanced.

By Bharath P

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Dec 2, 2017

Assignments related to week 4 would have been better. Course content is excellent.

By Berkay E T

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Jan 8, 2023

Very strong and solid course with consisting beginner and advanced info together.

By Daniel M

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Mar 20, 2021

Great introduction to Convolutional Neural Networks - as always, Andrew delivers!

By sivalingam

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Feb 14, 2021

It was an very extra ordinary course and helps me a lot for my final year project

By Victor D

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Nov 1, 2020

It's an excellent course. Very enlightening and the content quality is very high.

By Julio T

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Oct 11, 2020

Great course, it keeps the consistency and quality from the whole specialization.

By Akash A

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Sep 19, 2020

Always loved courses by Andrew Ng. Starts with basics and very easy to understand

By Ariel F

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Sep 13, 2020

Excelente curso sobre convolucionales. Ideal para partir y luego seguir avanzando

By Muhammad I K

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Jul 6, 2020

this course has helped me understand basics of CNN, why and how they are implied.

By Raakesh S

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Jun 26, 2020

CNN has always been my area of interest. I would like to pursue CNN for my thesis

By Hoang V

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May 23, 2020

Not too bogged down with the mathematical details so it is alright for a beginner