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

4.9
stars
42,392 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

AV

Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

FT

Apr 6, 2021

Very good introduction to programming convolutional neural networks. Although the models and functions needed are complicated ,this course takes you by the hand and introduces to all these wild ideas

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2051 - 2075 of 5,622 Reviews for Convolutional Neural Networks

By 曹杰

Apr 20, 2020

Great Lectures, covering the core ConvNet architectures and applications.

By Gerald C

Apr 13, 2020

Awesome, I will continue with further courses provided by DeepLearning.ai

By 徐雨臻

Jun 26, 2019

Excellent course. It is easy to understand the machanism, I learned a lot

By Thomas H

Feb 11, 2019

Great course but the exported slides are quite bad with overlapping texts

By Santiago I C

Feb 8, 2019

Perfecta continuación y muy interesante (y dificil) trabajar con imágenes

By Vu N M

Oct 25, 2018

I like this course, it gave me a lot of hint about the research direction

By Raihan K R

Aug 29, 2018

Among all the Deep Learning Specialization courses, this one is the best.

By Minglu Z

Aug 11, 2018

So many implementations in assignments!

Also harder than previous courses.

By Fernando D G

Jun 19, 2018

In line with the rest of the courses. Amazing assignments made with care.

By SHIVAM S

Jun 19, 2018

Amazing course , Covers all the fundamentals in most explainable fashion.

By X Z

May 7, 2018

awesome class! Andrew explained things very clear. All state-of-art stuff

By Ting-Shuo Y

Dec 17, 2017

Thorough and comprehensive explanation with solid and relevant exercises.

By Naresh A

Dec 12, 2017

YOLO and techniques used in YOLO are explained very nicely.

Thank you Sir.

By Naren B

Dec 6, 2017

When will Course 5 of Deep Learning Start.........

Waiting for a long time

By Marlon C

Dec 4, 2017

Great course for introductory theory and practical coding about ConvNets!

By Washing L

Nov 26, 2017

Very nicely organized class. I learned a lot from it. Thank you Prof. Ng!

By Yi W

Nov 16, 2017

Quite detailed and up-to-date techniques on convolutional neural networks

By Diego R

Nov 18, 2020

Andrew Ng videos continue being great and the exercises are well-planned

By Mudith W (

Sep 3, 2020

Very good course with effective programming assignments

Thanks Andrew Ng.

By yassine t

Sep 1, 2020

a good course where we learn lot of things about computer vision and CNN

By kameron b

Jun 14, 2020

very comprehensive. A+ exposure to key concepts. feel ready to go deeper

By Ahmed S

Jun 12, 2020

High quality course with high quality valuable content. Thanks Andrew :)

By Muhammad M M

Jan 24, 2020

So beautiful explanation about Convolutional Neural Network Architecture

By Wasiu S

Jan 17, 2020

I think the programming assignments should be upgraded to Tensorflow 2.x

By vishak b

Nov 15, 2019

A Wide ranging course on CNNs and Computer Vision. Extremely Good stuff.