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

4.9
stars
42,392 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

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

FT

Apr 6, 2021

Very good introduction to programming convolutional neural networks. Although the models and functions needed are complicated ,this course takes you by the hand and introduces to all these wild ideas

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4976 - 5000 of 5,622 Reviews for Convolutional Neural Networks

By BEVANS O O

Dec 2, 2022

The instructor has the peculiar ability of making the most difficult concepts easy to understand.

By Alperen S A

Sep 3, 2020

it's quite hard and contains unnecessary computation and coding... but generally lessons are great

By Ishan M

Aug 18, 2020

Great Course, the only problem is that this course is still using TensorFlow 1 for its assignment.

By James C

May 2, 2019

Generally a great course, just a couple of quiz questions which could be less ambiguously defined.

By Nazia P

Jun 23, 2018

More assignments of transfer learning using pre-trained models need to be included in this course.

By Nils K

Feb 28, 2018

Some of the grader difficulties in week four need to be sorted out. Otherwise, interesting course.

By Panos

Jan 22, 2018

Too many grader problems existing for so long. Otherwise the material was top quality as expected.

By Divyansh J

Jan 3, 2018

Awesome content and course!

A little problem in course assignments of week4. Otherwise great course

By zinhart

Sep 26, 2021

I particularly appreciated being walked through the derivatives of conv layers in the first week.

By Christian H

Mar 7, 2021

Contentwise great as usual, but all of the tensorflow documentation links are broken. Please fix.

By Mouadh A

May 23, 2019

Very nice course. The coding exercises code be more clear and the grading system needs some work!

By Dorinel B

Mar 14, 2019

More guidelines on tf functions use could be provided even though it has been previously covered.

By Dinesh K S

Nov 4, 2018

This Course gave a high level lecture on CNN. This should be enough to kick start in CNN journey.

By Joe-Kai T

May 25, 2021

Excellent course, teaching both highlevel intuition as well as low level implementation details.

By V R N

Jul 12, 2020

The course was good,but i think more time could've been taken to explain yolo and sliding window

By AMAN G

Apr 27, 2020

Assignments are good,should include more explanation regarding Interactive Session of tensorflow

By Alexey G

Dec 25, 2018

Сложно писать функции, понимания где Keras, где Tensorflow - приходилось искать просто по коду:(

By Zhang H

Nov 28, 2017

This course is really great. But I hope more such kind of contents will be introduced in future.

By Antonin K

Nov 25, 2018

Topic is nice and well covered. Just the occasional errors/mistakes in the videos are annoying.

By Henrique M

Aug 28, 2018

I sugest to find a better way to teach Transfer Learning when we are codding in the exercises .

By Alex M

Jan 10, 2018

Got a little tedious for me. Still high quality, but not as fun or concise as previous courses.

By alireza h

Dec 12, 2017

Regardless of the problem in grading the final project, the course was very attractive! Thanks.

By Hamza d

Sep 14, 2024

the theoritcal content is very good but the teacher doent tell us how to deal with labs enough

By Son N

Oct 3, 2018

I wish the assignment tell me more about transfer learning than using the exist trained model.

By Ramesh V

Feb 7, 2018

The grader in week 4 programming assignment 1 was behaving unexpectedly delaying my completion