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

4.9
stars
42,028 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

RK

Sep 1, 2019

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

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.

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351 - 375 of 5,570 Reviews for Convolutional Neural Networks

By Sami

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Feb 15, 2018

i think that's the most important course for me, of course all of them, where very very useful, but being an undergraduate Robotics engineer, the most essential thing is to learn image processing and how to make your robot think and learn and detect object and learn from environment.

By Wooshik K

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Feb 11, 2020

Thank you for the lecture contents and programming problems. I am quite sure that I have acquired much knowledge and it will be very helpful to solve my own problems. Also, it would be much more helpful if there are some comments on how to build filter coefficients or filter banks.

By Sathiraju E

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Aug 5, 2019

Amazing course. A lot of knowledge packaged into one package. This has been the most useful course in the deeplearning.ai. Thank you Andrew and team. Lot's of interesting stuff and knowledge has been shared out here. Only the back propagation for CNN was missing but otherwise great.

By Yernur N

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Jul 18, 2019

It is an essential course for those who wants to boost their general knowledge in the area of CNNs. It will give you a great foundation to build on your career and further learning. I struggled a bit with Keras, but I am planning on taking another course to learn this field further.

By Matheesha A

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Jun 21, 2019

This is an excellent course to learn the concepts of Convolutional Neural Nets. The hands on experience by the weekly assignments were very helpful to understand the concepts. I strongly recommend this course for the students who are interested in learning CNNs. Thanks Prof. Andrew.

By Ravi P B

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Apr 17, 2020

A very detailed and pleasing insight into the amazing world of Convolutional Neural Networks and as always Andrew Sir has been absolutely brilliant in the lectures.This course presents an in depth knowledge of the challenges and various technologies in the field of computer vision.

By Xiaolong L

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Feb 5, 2020

Excellent course! The programing exercises are both realistic and let you build (toy version) of state of art CV system. Many reference to heavy weight papers in the domain in the course, which student who really want to get into DL and CV can read and further expand their horizon.

By MADAN M

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Feb 21, 2018

I got thrilled by the lectures and its assignments. One thing that I would request is a lecture on how to use pre-computed models, in all the assignments we are using pre-computed models. Andrew explains why we should use them but in practice its seems little difficult to use them.

By Vijaya R S G

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Nov 6, 2020

This course is inspiring & really good. It presents with real research in a very lucid and simple manner.

I really liked the explanation of YOLO algorithm, was fascinated by it. With just one course to complete I am becoming fan of Andrew Ng and also other heroes of deep learning!!

By Learner

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Sep 12, 2020

Very Helpful for me! Andrew combine basic knowledge on ConvNet with advance architecture and application. The course assignments, lectures are all good.

I will choose Coursera my first Choice, as it will give financial aid too. Thanks for the instructor to making such good course.

By Shaelander C

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Dec 9, 2019

Very informative course . Professor Andrew Ng has done a great job of explaining most of the concepts of CNN. And Assignments are really good to apply what we learn in the lectures. Professor Andrew is the best professor I ever came across the style of his teaching is unmatchable.

By Guoliang

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Apr 17, 2020

This is a very detailed introduction to ConvNet with descriptions of some modern ConvNet architect. Though I feel that if the programming assignment could be much better if we can implement some of these algorithms from scratch with efficient implementation (using Google Colab?).

By Siraprapa W

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Oct 10, 2021

Prior to this course, I have been thru so many other elearning about the exact same topics, but none have them gave such a crystal ,clear, and easy to understand explanation. It is very enjoyable learning journey. Thank you, Andrew and the content team for such a wonderful jobs!

By Hasaan A

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Jul 30, 2020

Learned some really exciting stuff. It was great to learn a lot of the classical networks like resnet etc. Although, I wish the programming exercises did not have most of the stuff already filled in (though I understand it is done to make it easy for beginners to complete them).

By Dave J

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Apr 6, 2020

The material is clearly explained by Andrew Ng in his calm yet enthusiastic style. Programming exercises are well structured and explained: if anything I find there's too much hand-holding but having got the basics, there's nothing to stop you experimenting further on your own.

By Animesh S

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May 21, 2019

Great course, concisely conveys both techniques and advice for practical implementation of Neural Networks in Image recognition. Great for a person who is already familiar with the idea of Deep Learning and want to take it forward, and ties in perfectly with the specialisation.

By Ali S

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Aug 10, 2018

This course is a perfect way to teach these high-level concepts. They made it easy, step by step, and practical. You can learn not only convolutional neural networks in both conceptual and practical way, but also a lot of tips and tricks about tensorflow, Keras and even python.

By Moaz M

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Jan 1, 2021

one of the best fundamental courses that I ever attended, this course will build the basic knowledge for CNN and computer vision, and will help those who wanted to start a career in computer vision

for me, I was really happy during learning object detection and YOLO algorithm

By Jean D

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Jul 9, 2020

Really amazing to get access to state-of-the-art deep learning science (and art) ! A right mix of general information, science and practice, together with the references to the articles describing precisely the technicity of what we discover ! Thanks so much to all the team.

By Abdullahi Y

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Mar 26, 2022

This course is well organized and as someone with an intermediate level of experience with computer vision, I find this course very interesting and insightful. I really do recommend taking this course whether you're a beginner or a professional. Thanks for making this course.

By Shivdas P

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Jan 1, 2020

The course is well structured, especially the exercise where one has to code the complete CNN example. It gives good insights on how to use the frameworks such as TensorFlow and Keras. Feel comfortable in understanding the concepts around CNN and it's implementation using TF.

By Gurubux G

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Aug 20, 2019

One of the toughest and most exciting Course I have completed on the internet. Thanks a ton Andrew! I wish I can work with Deeplearning Team someday, so that I can learn every week, every day and probably explore the deepest of the Learning ocean potential that the team holds

By Gilad R

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Aug 13, 2019

I really liked the dive into academic literature combined with the wide view of CNNs across various applications. The programming exercises were very revealing and informative, although a little more guidance on TensorFlow technicalities would have helped accelerate learning.

By Bernard O

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Oct 30, 2018

This is quite a challenging course. Critical lessons on convolutions are the biggest value to me on this segment of the course. Takes a lot of the mystery out of CNN, but need to work hard at it. A very rewarding experience but does come with a few tear-my-hair-out incidents.

By Stephen V K

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May 17, 2019

The course does an very good job of explaining the concepts behind different types of neural networks, but the homework assignments pretty much only test these concepts. Students should not expect to gain any significant experience coding neural networks in keras/tensorflow.