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

DG

Invalid date

Too much hand-holding during assignments, although still very good directions. Obviously the issue with the final programming assignment needs to be addressed. Fantastic lecture material, as always.

DD

Invalid date

very easy to understand and helped my understanding in Deep Learning-based computer vision. Yet, this course will need to be updated with new developments in the future (to catch up with the trend).

Filter by:

1251 - 1275 of 5,604 Reviews for Convolutional Neural Networks

By José M H

•

Nov 26, 2017

Loved this course. Andrew Ng made it so clear and practical that convolutional neural networks are no longer a mystery to me.

By Aman G

•

Nov 26, 2017

Awesome course...Helped me a lot in understanding very difficult topics easily!!! Please continue making courses like this!!!

By Bohdan M

•

Oct 30, 2022

Very interesting and useful. Basic ideas, intuition behind the machine and also references for further reading. Nice course

By Basil J

•

Jul 27, 2020

A very informative and highly recommended course . It almost made me see the most complicated concepts seem extremely simple

By Nagaraj S M

•

Jun 10, 2020

Assignments are really good. It would be nice if we had an opportunity to submit assignments in the framework of our choice.

By Eulier A G M

•

Nov 29, 2019

Totally pleased of the pace of Andrew Ng and Assignment. Just make sure to really understand the core concepts before go on.

By Archit G

•

Aug 5, 2019

This course on CNNs was a great learning experience with all the topics covered in length and the exercises were insightful!

By MANTU P

•

Jun 13, 2019

First time I get interest to learn CNN after watching the second video of this course. It is very good to learn from basics.

By SetuServ

•

May 6, 2019

Quality of content and assignments is really good. Gives good starting points for implementing complex models in tensorflow.

By Manpreet M

•

Feb 19, 2019

Splendid course with extremely useful content and exercises. After this course you will definitely be comfortable with CNNs.

By Rajat G

•

Apr 21, 2018

Very good and informative course. Course material and assignments are very informative. Thank you for this wonderful course.

By Jeff C

•

Apr 8, 2018

I found it exciting to learn cutting-edge techniques and apply them. These courses continue to build rapidly on each other.

By Karl M

•

Feb 20, 2018

Absolutely stunning, as one gets the opportunity to explore and apply quite recent research results like the YOLO algorithm.

By h_st

•

Aug 1, 2021

I like the demonstration with the training that profound work on images can be understood and performed within a few hours.

By Nan T

•

Aug 22, 2020

A big fan of Andrew! The course provides both a comprehensive overview of CNN applications and good practice on TensorFlow.

By Harsha K

•

Jun 20, 2020

One of the base online course experience I ever had during my career. Arrangement and execution of the course is very well.

By Swapnil K

•

Dec 29, 2019

That was really challenging one, the exercises were really good. Learned about new frameworks such as Keras and Tensorflow.

By Ashish A

•

Nov 4, 2019

excellent. It would be better if in assignments, we have option to do under the hood methods such as loading the model etc.

By Djordje B

•

Oct 26, 2019

The hardest one of the specialisation so far. I really liked the challenge, although I'm glad that TensorFlow 2.0 is out...

By Asaduddin A Z

•

May 2, 2019

firstly, I know about CNN is from this course, the explanation is clear, combination between theory and practical is great.

By Mahesh

•

Feb 13, 2019

Best course for computer vision engineers. Assignments gives us direct intuition on real world problems. Highly recommended

By William K

•

May 7, 2018

Excellent course. Lectures are detailed and clear, and the programming assignments brilliantly support learning. Thank you!

By Jorge B C

•

Jan 18, 2018

Very well structured course. Although the way Tensor Flow works in the exercises has been a little difficult to understand.

By Dave P

•

Jan 16, 2018

Very useful. Fascinating how straight-forward it is to build a CNN to do object detection and face recognition/validation.

By Jorgen C

•

Oct 7, 2023

This course helped me understand Convolutional Neural Networks well and the Programming Exercise were informative and fun!