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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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1101 - 1125 of 5,613 Reviews for Convolutional Neural Networks

By Steve S

Jul 8, 2019

Dive into the state-of-art CNN technologies with solid examples. After taking this course, I feel ready to learn the papers as next steps.

By Ozioma N

Jun 2, 2019

I would imagine this to be a difficult concept but trust Andrew Ng, he simplifies the most difficult topics. Great course worth every cent!

By Francis V

Oct 31, 2018

Just two words purely impeccable , this course taught by prof.Andrew ng is the gateway for anyone who want to deep dive into deep learning.

By NB

Jul 10, 2018

Another very well designed course that gives you a well rounded understanding the applications of Convolutional networks and how they work.

By Sinan G

Jun 9, 2018

Really interesting round trip in a lot of up-to-date models and methods, of which most are readily available for practical implementations.

By Alexandra L

Feb 9, 2018

A great course, unfortunately I had to fight with the grader for week 4 face recognition :). Go to the forum before starting the assignment

By Anshik

Dec 4, 2017

The course has improved a lot. If i don't account for technical glitches that happened during submission .The course is a 5 start course :)

By akshay b

Nov 30, 2017

The best introduction to convolution neural nets on the internet.The research based approach asks the viewer to deep drive.Simply,brilliant

By manaranjan p

Nov 21, 2017

Excellent course and examples of real world applications. Most of the techniques taught are cutting edge and replications of recent papers.

By Pablo V

Nov 17, 2017

This is a fantastic and incredibly detailed course on ConvNets, I especially love the YOLOv2 project for object localization and detection.

By Nghĩa P

Dec 17, 2021

Best course i ever learn many thing in this course is very difficult but Andrew make it very easy to learn and implement it in Assignment.

By Mauricio O G

Dec 28, 2020

Excelent Course I must say Andrew is one of more dedicated Professor That I´ve ever had, Including all the team behind the construction !!

By Rishav K

Jun 21, 2020

Thoroughly excellent course. Though it gets quite difficult in a few programming exercises, persisting with the problem would surely help.

By Pedro H M P

Apr 28, 2020

Curso bem ministrado, com um olhar profundo para o tema. Gostei muito, supriu a necessidade que eu tinha em entender a fundo redes neurais

By Mohsin M

Apr 18, 2020

Toughest course so far in the specialization ... but the instructor is very good at building the concepts of the candidate from ground up.

By David C

Aug 23, 2018

This course really cleared up the confusion. It did not get very deeply into the math, which could be considered a weakness or a strength.

By Александр

Jul 25, 2018

Andrew Ng has a great talent to explain difficult things in a very simple intuitive way. I'm a big fan - great, awsome courses, thank you!

By Ankoor B

Jan 11, 2018

Concepts were explained in a great way. I wish the programming assignments more challenging and involved more TensorFlow instead of Keras.

By Dongxiao H

Dec 25, 2017

thank you, Professor Andew.

You show me the practice how to make the excellent application

better than any classes I've ever learnt about NN

By Gordon L W C

Dec 9, 2017

Great Course on CNN. CNN is difficult if you learn by yourself. But Andrew does a really good job on decomposing the problem step by step.

By Sarat C V

Dec 3, 2017

I really enjoyed learning through Andrew's lectures and presented material during the course. My sincere thanks to Andrew Ng and his team.

By Chris R

Nov 29, 2017

The courses in the series are getting more difficult but I feel like I've gained a lot of knowledge along the way. These courses are fun.

By Rajasekharreddy P

Nov 30, 2020

Extraordinary course. The differences between various convolutions neural networks are explained in a very simple and understandable way.

By Tech w K

May 21, 2020

Tankful for this great course this help mush in understanding convloution Neural Network and Computer vision in General Thanks alot all.

By Rajeev G

May 9, 2020

Great explanation by Prof Andrew. I have taken this course a few months back on my personal account. Just here to check my understanding.