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

4.9
stars
42,318 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

OA

Sep 3, 2020

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

AG

Jan 12, 2019

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.

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901 - 925 of 5,613 Reviews for Convolutional Neural Networks

By Jair G

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Aug 15, 2018

One of the most fun courses I have taken. The YOLO model is the hardest part of this course, I still find it very hard to understand but I think is a genius idea.

By Fabrice L

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Jun 18, 2018

As usual with M.Ng, complex concepts explained in an amazingly understandable way.The programming assignments are interesting.All is here to make a good course!!!

By Ankur S

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Dec 3, 2017

Great course for understanding the fundamentals of Convolutional neural networks and their applications. Also had good introductions to Keras & transfer learning.

By Animesh M

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Dec 16, 2018

It has been a wonderful course and has helped me in my project work a lot....Thanks a lot to Professor Sir for such a good way of explaining the course materials

By ABHI G

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Sep 19, 2018

This course give me a better intuition about what cnn is and how it's work.

In this course's programming exercise you will learn Keras framework.

HaPPy LearnING :)

By Matthew A

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Mar 19, 2018

I believe Andrew Ng is the first AI to successfully pass the Turing test. His depth of knowledge is profound and illuminating. Thank you for offering this class.

By Jorge E

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Mar 14, 2018

Excellent explanaitions of state of the art Deep Learning algorithms, I would be great if the Professor Ng dedicates more to the Fast- Fastr RCNN, with examples.

By Tuan C

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Dec 3, 2017

Amazing course! After finishing the course I'm able to understand latest advancement in AI and can start implement some simple CNN by myself. Highly recommended.

By Paul S

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Dec 16, 2021

So far this is the most content heavy course in the Deep Learning track. I suggest taking extra time with it and reading at least some of the referenced papers.

By Victor M T S

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Dec 24, 2020

Excelente curso sobre las redes neuronales convolucionales, las lecciones son las mejores, suficientemente buenas para entender los quices y tareas y mucho más.

By Peter S

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Mar 18, 2019

Awesome content, really relevant to the aspects of deep learning I want to explore. Andrew is awesome at explaining complex concepts in a clear and concise way.

By Vignesh K

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Mar 4, 2019

Extremely useful course for image analysis - classification as well as object detection along with style transfer, etc. Also very useful for Tensorflow novices.

By Bhaskar D

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Dec 13, 2018

Excellent course. Among all the courses in the specialization, found this one to be hardest (personal view). Great support in discussion forums from the tutors.

By Deleted A

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Dec 7, 2017

Professor Ng makes it really easy to understand the material and even the more complicated concepts. The discussion forums were very helpful as well.

Thank you!

By Namhoang

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Aug 18, 2023

Very detailed, the course introduces me to new concepts that feel like a whole new level compared to what I expected, thank you for making such an amazing work

By Jesus D P G

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Feb 22, 2022

With this course I was able to understand the important concepts of CNNs and I was even able to apply these ideas to get out a blocker in an unrelated problem!

By Daniel K

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Dec 25, 2021

Wery nice course, which gives a good overview of Convolutional networks and their applications.

Programming assignments could have been more challaging, though.

By Brian D

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Jul 21, 2021

Great course! Covers a lot of topics which are very relevant for implementations of Deep Learning. Wonderful instructors and challenging programming exercises.

By Samuel S

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Aug 17, 2020

Very nice course. I learned a lot. The only wish I have is that the notebooks be upgraded to use Tensorflow 2.0 and latest versions of other libraries as well.

By Dilip V

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May 12, 2020

I am very much happy with this course, I learned a lot of new applications of Convolutions such as Neural Style Transfer and Face Recognition and Verification.

By mausci71

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Apr 28, 2020

The course was great. Andrew NG is a true authority in the NN field. The applications are many. Just missing at least a capstone project in the specialization.

By Xh L

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Mar 1, 2020

After learning from this course, I built my own deep learning recognition project using the Convolutional Excalibur Network and implemented it, which is great.

By Mo R

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Feb 6, 2019

Extremely helpful course, it covers whole concepts and building blocks of CNNs, lot of thanks for coursera and Sir Andrew for giving us the chance of learning.

By MN

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Apr 8, 2018

Excellent course, enjoyed lectures very much, liked the references to research papers mentioned in each lecture. I also found the assignments very interesting.

By Deevyankar A

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Jul 21, 2021

Very helpful.Provide less support in the programming assignments.Start some course for implementing 3dCNN for classifying Medical images {Such as MRI or fMRI}