Chevron Left
Back to Convolutional Neural Networks

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

4.9
stars
42,232 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

SH

Invalid date

Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.

FH

Invalid date

Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

Filter by:

2201 - 2225 of 5,600 Reviews for Convolutional Neural Networks

By Trishita M

•

Aug 23, 2020

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

By Abdellah 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!

By Andy W

•

Jun 29, 2020

Generally a nice course. Needs to be a little bit slower I think.

By Đàm T T

•

Jun 21, 2020

it is the best course about CNN and Computer Vision I have learnt

By Michael Y

•

May 19, 2020

Great course, loved the programming exercises, a lot of fun to do

By Divyank S

•

Apr 23, 2020

Handon really good for Image analytics and practical applications