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学生对 DeepLearning.AI 提供的 Convolutional Neural Networks 的评价和反馈

4.9
42,558 个评分

课程概述

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....

热门审阅

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.

FH

Jan 11, 2019

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.

筛选依据:

2151 - Convolutional Neural Networks 的 2175 个评论(共 5,642 个)

创建者 Leonardo L

Oct 7, 2018

Very interesting applications such as car detection or style transfer

创建者 Michael A W

Aug 30, 2018

Great course, either for new learners, or for review if you are rusty

创建者 Mostafa Z

Aug 12, 2018

truly it's a great course to learn from .. academically and practical

创建者 chamith m

Jul 14, 2018

Excellently organized material and superb explanation of the material

创建者 Shantanu S

Jun 18, 2018

Please fix the problem with jupyter notebook. it keeps disconnecting.

创建者 Narendra P

Mar 15, 2018

It was this course which let me know how deep this field really goes!

创建者 wenzhu z

Feb 25, 2018

sometimes it's not very clear, but thanks for sharing your knowledge.

创建者 Umang S

Dec 13, 2017

Extremely helpful in getting the insights of working of a CNN. Kudos.

创建者 Vagner Z C P

Mar 16, 2022

Great foundational understanding and real-world applications of CNN!

创建者 Jason G

Dec 18, 2021

Well structured introduction to the fundamentals of Computer Vision.

创建者 Taras S

Oct 31, 2020

Appreciate so much for detailed comments in programming assignments.

创建者 Michael R

Oct 18, 2020

quite conceptually challenging, avoid if not comfortable with maths.

创建者 Akshat T

Jun 26, 2020

Thank you Andrew Ng for such a wonderful and informative experience.

创建者 Santiago A A

Jun 8, 2020

Very nice course. Easy to follow and with insightful practice cases.

创建者 MADISHETTI S

May 9, 2020

Really enjoyed learning Neural Style Transfer and Facial Recognition

创建者 Ioannis B

Apr 25, 2020

Amazing course as all the other part of the deep learning collection

创建者 VINOD K R S D o C E I (

Apr 1, 2020

Course is very...starting from the basic idea of image to the models

创建者 DEV S

Jan 12, 2020

It was amazing for me., especially yolo and face recognisation part

创建者 Michalis P

Dec 1, 2019

The Face Recognition notebook was an interesting and fun experience.

创建者 Suraj S

Sep 27, 2019

Awesome , a must do for every one who wish to learn Image processing

创建者 Aniruddh S

Aug 11, 2019

Great content and deep knowledge of learning provided by instructor.

创建者 Nikhil D K

Aug 4, 2019

This is yet another typically great course from Andrew and his team.

创建者 Yuanzhan W

Jun 21, 2019

Good introductory course to the powerful convolution neural network!

创建者 Amélie H

Mar 18, 2019

All you need to understand CNNs and start building your own network!

创建者 Sai V K S

Jan 21, 2019

Highly Recommended. The course explains in the best manner possible.