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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

AV

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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

YY

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Very exciting courses. Everything explained carefully but easily to understand. Great courses. This course really help me a lot on my journey to learn deeper about deep learning. Thank you very much.

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4101 - 4125 of 5,600 Reviews for Convolutional Neural Networks

By Peter C

Aug 11, 2018

Soooo good

By Gustavo C

Jul 27, 2018

Excelente.

By 罗成毅

Jun 24, 2018

Thank you!

By 喆 李

Jun 1, 2018

Fantastic!

By Aratz S

May 27, 2018

Very good!

By codeit

May 2, 2018

Thank you!

By Noah W

Apr 19, 2018

very cool!

By Predrag S

Mar 18, 2018

Very good.

By Felipe D

Mar 15, 2018

Muy bueno.

By Zito R

Feb 27, 2018

Excellent!

By 柴仲明

Feb 24, 2018

very good!

By francisco a

Feb 22, 2018

Excelente!

By Mark N

Feb 12, 2018

great work

By Tony L

Jan 31, 2018

Thank You!

By manoj

Jan 11, 2018

learnt CNN

By Ashkan E

Jan 6, 2018

Thank you.

By Joris D

Jan 6, 2018

Very good!

By eagle

Dec 19, 2017

very good!

By Michel-Alexandre C

Nov 30, 2017

Very good!

By 이정민

Nov 29, 2017

thank you~

By Xiao M

Nov 27, 2017

very good!

By 黄顺亮

Nov 22, 2017

very good!

By Francois C

Nov 20, 2017

Excellent!

By JASON123

Nov 7, 2017

Fantastic!

By Mohanraj S 2

Jul 22, 2024

Excellent