Chevron Left
Back to Convolutional Neural Networks

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

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.

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.

Filter by:

2201 - 2225 of 5,613 Reviews for Convolutional Neural Networks

By Justin H

•

Jun 11, 2023

Insane! Not only has the gradients exploded. my head as well...

By Sanchit V P

•

Dec 25, 2021

Must do course to learn CNN, Object detection and Face recognition

By Puran D

•

Apr 1, 2021

This course is very useful to learn Convolutional Neural Networks.

By Luis F S B

•

Sep 21, 2020

Excellent and dynamic formation! I have learned and enjoyed a lot!

By Trishita M

•

Aug 23, 2020

Learnt a lot! Thank You deeplearning.ai team and Professor Andrew!

By Ayat e A

•

Jul 19, 2020

it will be perfect if we have more application! i like it thanks !

By Vaseekaran V

•

Jun 22, 2020

Learned a lot about Convolutional Neural Networks. Great course!!!

By D N V V S S K

•

Jun 22, 2020

Learned a lot from this course superb course its really helped me.

By Ahmed L

•

Mar 26, 2020

Last and final course for me in this specialization! Great content

By Jagadish C

•

Dec 26, 2019

Great Course and enhanced my understanding of Convolution Networks

By kripa s

•

Dec 3, 2019

I must say a great course for someone who is new to Deep Learning.

By Ayushi R

•

Aug 3, 2019

An awesome course to start working on convolutional neural network

By Rohan G

•

Jul 26, 2019

There was problem in iou in week 3 but this course is really good.

By Enoc M

•

Nov 11, 2018

Im 4/5 on the specialization, ant this is the best course so far!!

By Rahul D

•

Aug 23, 2018

Excellent Material, Neither Hard Nor soft, Complete Understandable

By Huang S

•

Apr 15, 2018

Great course! I will download the code and further study it later.

By Pengyue W

•

Apr 8, 2018

Great introduction course. The key concepts are explained clearly.

By Vladimir

•

Mar 13, 2018

A very good introduction with the hands on building actual models!

By Piyush J

•

Feb 17, 2018

Difficult concepts explained in easy language. Feeling Awesome !!!

By Yuri S

•

Dec 24, 2017

Extremely valuable review of the (already) classic CNN techniques.

By Sriram P

•

Dec 6, 2017

Amazing course, learnt a lot, and yet, there's a lot more to learn

By Basa S

•

Jul 7, 2023

Course is very well structured and full of practical applications

By Hyeonchung L

•

Sep 4, 2021

It is so nice to learn from the world best. Really appreciate it.

By Ipsita M

•

Sep 28, 2020

For a beginner , its is an amazing course for clearing concepts..

By Christophe P

•

Jul 14, 2020

The most difficult module of the course but the most interesting!