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

4.9
stars
42,572 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

Aug 5, 2019

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.

AM

May 5, 2019

A big thank you to Professor Andrew and his team for structuring this course and introducing the world of ConvNets to me. I found the video lectures easy to understand and the exercises intriguing.

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2051 - 2075 of 5,646 Reviews for Convolutional Neural Networks

By Jesús P

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Mar 14, 2018

Great course! I think it can be improved with more architectures of CNN :)

By Douglas T

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Jan 29, 2018

Excellent course. Learn a ton about CNN and various network architectures.

By Troy C

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Feb 27, 2024

Very practical and engaging into to CNNs and the technologies they enable

By Malay M M

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Nov 7, 2021

This was the course i loved the most in the Deep Learning Specialization

By João H

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Sep 29, 2021

Very super informative, complete and fun course! I strongly recommend it!

By Vaibhav S

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Feb 5, 2021

A truly perfect course! Just make the assignments a bit tougher, I guess.

By Itamar d P R F

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Aug 19, 2020

Great course. Anyone interested in CNN's should do it. Definitely a must.

By coen h

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May 5, 2020

Gives you a very good overview and some useful practical insight in CNNs!

By 曹杰

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Apr 19, 2020

Great Lectures, covering the core ConvNet architectures and applications.

By Gerald C

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Apr 13, 2020

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

By 徐雨臻

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Jun 26, 2019

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

By Thomas H

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Feb 10, 2019

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

By Santiago I C

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Feb 8, 2019

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

By Vu N M

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Oct 25, 2018

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

By Raihan K R

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Aug 29, 2018

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

By Minglu Z

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Aug 11, 2018

So many implementations in assignments!

Also harder than previous courses.

By SHIVAM S

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Jun 18, 2018

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

By X Z

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May 7, 2018

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

By Ting-Shuo Y

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Dec 17, 2017

Thorough and comprehensive explanation with solid and relevant exercises.

By Naresh A

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Dec 11, 2017

YOLO and techniques used in YOLO are explained very nicely.

Thank you Sir.

By Naren B

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Dec 6, 2017

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

Waiting for a long time

By Marlon C

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Dec 4, 2017

Great course for introductory theory and practical coding about ConvNets!

By Washing L

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Nov 26, 2017

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

By Yi W

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Nov 15, 2017

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