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

4.9
42,556 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

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.

YY

Sep 23, 2020

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.

筛选依据:

1026 - Convolutional Neural Networks 的 1050 个评论(共 5,641 个)

创建者 SANTHOSHKUMAR P

Jun 30, 2020

This CNN course very interesting exercise and I have learned more knowledge about convolution. Discussion forums are very useful for concept-wise.

创建者 rahul b t

May 1, 2020

This is a very good course to understand the basics of CNNs. The classes along with the training exercises makes what is taught easy to understand

创建者 Qiaoyi L

Apr 6, 2020

Well-explained lectures and interesting examples! Assignments are clearly instructed and help me to walk through the state-of-art neural networks.

创建者 adolfo b

Oct 2, 2019

Great introduction to convolutional neural networks! I feel like I now have a good basic understanding to continue my studies beyond this course.

创建者 Chao Y

Aug 15, 2019

This couse gives my a wonderful view and insights about the convolutional neural network. I have gained a lot of experience and knowledge from it!

创建者 Sanchit N

Aug 9, 2019

Andrew is an amazing teacher. He explains CONV nets very well and intuitively. The programming assignments are well-structured, easy and hands-on.

创建者 Neelakantan M

Jan 15, 2019

Amazing course. It was a little tougher than the earlier courses, but Andrew made it wonderful as usual. Some really practical coding assignments.

创建者 Alam N

Dec 4, 2018

My Special thanks to Professor Andrew Ng and Coursera team that allow me to got fourth certificate in Deep Learning. Best wishes for Coursera team

创建者 David P

Nov 22, 2018

Be able to understand state of the art technique in object detection and recognition, also get to know a big picture of many architectures in CNN.

创建者 Tan K S

Mar 24, 2018

Excellent learning notes and explanation.

Improve the understanding on the state-of-the-arts in research and industry community

Strongly recommended

创建者 张仕超

Jan 28, 2018

Very good lessons! And there are several useful case studies which can help you understand how to use convolutional networks for your own project!

创建者 Jesús U B

Dec 1, 2017

A great course!!! Shows how to implement complex Convolutional neural networks and techniques for image detection, verification, recognition, etc.

创建者 Surjya R

Jul 4, 2020

The thing that sets apart this course is Andrew's explanation. It is intuitive and provides enough background to go deeper on your own if needed.

创建者 Jones M S J

Mar 18, 2018

great course with some simplifications that help. I liked the projects and how the knowledge acquired can be applied the other day on my projects

创建者 Yuichiro H

Feb 25, 2018

Excellent lectures and practices. Systems are also very nice. It helps me to reconstruct knowledge and understanding deeper about CNN. Thank you!

创建者 冉祥映

Feb 23, 2018

very nice introduction to CNNs and its application to computer vision task, lots of thanks for Professor Andrew and Coursera platform, thank you.

创建者 GNITOU T

Jan 29, 2018

don't know what to stay definitively I prefer to become a lifelong student on coursera rather then being a student at any university in the world

创建者 Ankur D

Jul 11, 2021

Very interesting course covers a lot of aspects of :

1) Object detection

2) Face recognition

Simple and easy explanation with great assignments.

创建者 zain h

Oct 7, 2020

Outstanding course with one of my favorite instructor. Helps a lot in understanding the basic concepts of ConvNets and advance concepts as well.

创建者 ABY P

Jun 30, 2020

cool subject in artificial intelligence, computer vision taught from scratch, discuss lots of cv works based on papers and form scratch learned.

创建者 Vivek G

Jun 4, 2020

Great Course for intro in to CNN's, would have been even better if some unsupervised learning techniques like autoencoders & GAN's were included

创建者 Esther S

May 23, 2020

I had studied about the topic at uni but I have discovered after taking this course that I was more interested in the topic as I thought before!

创建者 Carlos S C V

Apr 23, 2020

Muy bien explicado todo el material y los ejercicios realmente ayudan a entender de manera muy clara como implementar los modelos en la práctica

创建者 Kuan-Wen C

Jan 9, 2020

I love the programming exercises and the well-presented lectures! Andrew is really a good teacher that can simplify the complex concepts of CNN.

创建者 Bhishan P

Jul 27, 2019

This course was a continuation of deep learning courses and is an very important cog in the wheel to learn the complete package of deep leaning.