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

4.9
42,574 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

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

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.

筛选依据:

5026 - Convolutional Neural Networks 的 5050 个评论(共 5,646 个)

创建者 Max W

Sep 7, 2018

The course is awsome, but the introduction to TensorFlot as well as to Kera is improveable.

创建者 Mikael B

Jan 6, 2018

The last coding exercises could have been a bit more in-depth, to be even more educational.

创建者 Samuel S M

Jul 30, 2020

A little less well explained that the oter ones, but still a great course. Should be free!

创建者 S S

Jun 27, 2020

The programming assignment is the highlight of this course. Good work team deeplearning.ai

创建者 Pascal B

Apr 17, 2020

I learned a load

More comprehensive details in assignment submission errors would be great.

创建者 Christian B

Oct 8, 2018

You rely a lot on the Discussion Forum since there seem only be limited number of mentors.

创建者 Jim R

Mar 13, 2018

Great course. The poor video editing and strange grading anomalies detracted alot however.

创建者 Vijay S

Dec 21, 2017

I would have liked to see more details on one-shot learning, zero-shot learning, and GANs.

创建者 Raghav G

Jul 13, 2020

A decent course though some week's ending materials get a little difficult to comprehend.

创建者 Abhilash S

Jul 4, 2020

TensorFlow could be explained in a bit more detail which could be helpful for new coders.

创建者 Jason C

Mar 25, 2018

the grader of the assignment doesn't work well sometimes and wasted a lot of time on it.

创建者 Robert L

Feb 11, 2018

Would have been 5/5 if the final assessment didn't have a bug in the submission grading.

创建者 Pavel C

Nov 28, 2017

Great course!

Though you need to fix some problems and errors with last programming task.

创建者 Don S

Jan 16, 2021

The lectures are excellent. I wish the labs were in Tensorflow 2.0 not Tensorflow 1.0.

创建者 David N

Dec 4, 2017

Problems with expected answers matching output for graded functiosn proved frustrating.

创建者 Subodh C

Mar 2, 2018

Issue : The final assignment issues needed too much debugging that was grader related.

创建者 Li J

Dec 4, 2018

Great introduction course for convnet, but I hope to see how does the back prop work.

创建者 Heikki S

Sep 5, 2018

Very good course, but some of the videos could have used some more editing in places.

创建者 Mateusz O

Jan 28, 2021

Great course overall, but sometimes programming assignment feels like copy and paste

创建者 Deleted A

Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

创建者 Einar W A

May 20, 2019

An error with the "Face recognition" notebook, otherwise a great and in-depth course

创建者 manpreet s

Dec 23, 2018

Great course for the ones who wants to learn CNN and the working of the convolution

创建者 Alisa K

Jan 30, 2018

Good course. I got a lot of knowledge in this course, but a lot of bugs in exercise

创建者 Aleksei A

Dec 12, 2017

ConvNets are no more black boxes for me. May be some more mathematics worth to add.

创建者 Jeffrey L

Nov 5, 2017

I wish other topics like semantic segmentation, pose estimation, etc. were covered!