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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

SH

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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

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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.

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2076 - 2100 of 5,600 Reviews for Convolutional Neural Networks

By Michael S

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Jun 24, 2018

Felt like I just took a world class course on a bleeding edge technology

By Marvin P

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Jun 10, 2018

As good as a course about ConvNets can be. Thanks to Andrew and his team

By Dipunj G

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Apr 26, 2018

Very Detailed course, should get you more than going in computer vision

By Mikko L

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Mar 4, 2018

The examples were current, and relevant. This is a really useful course!

By Fima R

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Dec 18, 2017

Good coverage, I personally would prefer more mathematical depth, though

By Fanfan Y

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Dec 16, 2017

Great course! but there are couple of bugs in this course's assignments.

By Tich M

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Dec 5, 2017

This one was adequately challenging for the level of material presented.

By Rafael F

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Dec 1, 2017

Excellent course, very well laid out and the concepts are easy to grasp!

By Ariful I M

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Nov 13, 2017

very nice course! Thank you Prof.

I wish to complete next course as well.

By Muhammad T

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Mar 18, 2024

Course is good with balanced approach between theory and practical work

By sarathva v

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Jan 26, 2024

Course is really good but need some explanation to tensor flow coding .

By Morteza M

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Sep 24, 2022

perfeeeeeect.just if use pytorch rather than tensorflow is much better

By Levin

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Aug 8, 2022

Amazing course!

I get big intuition about Convolutional Neural Networks.

By vinoth k

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Dec 26, 2021

Best ever course for those who are in need of strong foundation in CNN.

By Pasan J

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Oct 4, 2021

Amazing course! Very detailed and explained as expected! Thanks andrew!

By Rugved R K

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Aug 4, 2021

Great course, Learning a lot of things, very good for beginners like me

By sushil d

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Jul 31, 2021

very helpful to understand different vision models with hands on coding

By Salma H S

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Oct 11, 2020

I wish the illustration of TensorFlow and Kares to go deeper than this.

By Mr. R G

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Aug 22, 2020

Gave practical insights in to popular convolution network architectures

By David H

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Mar 24, 2020

It's a great course to introduce into de Convolutional Neural Networks.

By Sinan C

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Jan 6, 2019

Outstanding course. Thank's a lot for the great information and effort.

By Diego N

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Sep 8, 2018

Simply explained very powerful state of the art convolutional networks.

By Nguyen S A

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May 29, 2018

very interesting content, detailed explanation and useful exercises too

By Mayur V

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May 14, 2018

Grader needs improvement...sometimes it won't submit my correct answers

By Junheng Z

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Mar 19, 2018

It is great, you will know CNN,VGG,YOLO2,.... so much model.

It is great