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

4.9
42,550 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

JM

Sep 19, 2020

Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

AV

Jul 11, 2020

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

筛选依据:

976 - Convolutional Neural Networks 的 1000 个评论(共 5,641 个)

创建者 Vishnu P S

Feb 6, 2018

Its a wonderful course, covered all concepts in CNN and its various applications in real world. It was a great experience. Thank you team for this course

创建者 Fabian M

Dec 4, 2017

Great course, provides insights that I feel will really help in the real world, but is also a gentle introduction into the field of convolution networks.

创建者 Leonid K

Apr 7, 2020

This course gives a significant boost in understanding of advanced ML concepts and practical skills related to image recoginition. Definitely recommend!

创建者 Mohamad K

Dec 6, 2018

Its great course about deep learning computer vision. Make sure you take this course kuz DL and CV are both powerful Tech to process images and videos.

创建者 Dave C

Jun 25, 2018

very good stuff - where neural networks really get interesting. and the projects were applied in areas where the amazing results were easy to visualize.

创建者 Nishit K

Nov 19, 2019

I am deep learning practitioner and use CNNs very much for my work, but material here was very interesting and refreshing! Of course Andrew is awesome.

创建者 Jiali H

Jun 18, 2019

the assignments have some bugs that sometime I could not find the "submit" button. Also, the links of "Hints" sometimes didn't direct to the right one.

创建者 Chen S

Mar 17, 2018

Useful algorithms. The overviewing teaching style is quite useful in the sense that some of the ways of construction CNNs for specific use is provided.

创建者 Sreejith S

Dec 3, 2017

Great Course Anderw and team. Planning to try out a face recognition use case in office before the next course on sequence models start :)

Thanks again

创建者 Tuan D V

Jul 19, 2021

This course is definitely tougher than the first three courses. Challenging but worth it.Content is great, but videos could be trimmed to cut retakes.

创建者 Saravanan S

Dec 27, 2020

Very Good Course. Best place for those who are new to deep learning and want to explore CNN and to get insights on both theory and practical knowledge

创建者 Warren P

Jun 13, 2020

Great labs and course content. Overlaying image content with a style was thoroughly enjoyable. Like all of the courses, it is well-constructed. Bravo!

创建者 AMIT P

Jun 9, 2020

I did few projects based on object detection and face recognition, but after completing this course only I get a better understanding of these topics.

创建者 tahir i

May 12, 2020

its is one of the best course on coursera to learn neural network i have learn a lot i hope this will help me in my professional carrier and other too

创建者 Michael D

Mar 12, 2018

what can I say, this is another fantastic course. Andrew Ng does such a fantastic job of simplifying yet not trivializing some pretty complex topics.

创建者 Gitesh K

Mar 7, 2018

The in the specialization. Although if there could also be a tutorial on how to input or create your own dataset of images, it would be of great help.

创建者 Per T H

Mar 3, 2018

Excellent course, thought in a very pedagogical way by Andrew Ng. You can really save a lot of time with a good Professor on these difficult subjects.

创建者 熊子量

Mar 11, 2020

Courses content is as inviting as the first three courses. It's a good way to provide the essaies' link for those who want to dig deeper in research.

创建者 Fahad T

Nov 26, 2019

Good course to get started with Convolutional neural networks. Learned a lot of network architecture. My personal favorite part was Object detection.

创建者 Haider k

Nov 9, 2019

Great course with lots of state of the art practical projects. Professor Andrew Ng can explain complicated topics with simple/intuitive explanations.

创建者 Subhadeep D

May 14, 2019

An excellent course which made me familiar with the state-of -art techniques in Computer Vision. Highly recommend it for Computer Vision enthusiasts.

创建者 Leonardo S

Jan 6, 2018

Great class, lots of practical tips & skills learned. Just wish the programming assignments were a bit more challenging (as in starting from scratch)

创建者 helen d

Nov 12, 2024

Andrew is a great instructor! The course syllabus and the labs did really help me get much deeper understanding of the algorithms. Thank you! Andrew

创建者 Christopher A

Oct 19, 2023

I enjoyed the course. Taking it at my pace and gaining understanding or how various neural network architectures work and the intuition behind them.

创建者 snigdha m

Mar 12, 2021

It was nice learning various aspects of CONV networks. Also, the programming assignments was helpful for nice learning in terms of practical concept