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

4.9
stars
42,145 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

DG

Invalid date

Too much hand-holding during assignments, although still very good directions. Obviously the issue with the final programming assignment needs to be addressed. Fantastic lecture material, as always.

FH

Invalid date

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.

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5576 - 5583 of 5,583 Reviews for Convolutional Neural Networks

By Ge Z

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Apr 11, 2021

Very bad grader for week 4 face recognition task.

By Felix F

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Dec 19, 2017

giving low grade for ongoing delays of course 5

By Hidde R

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Jan 27, 2020

Didn't pass because of an error by the course

By Saravanan M

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Jan 29, 2018

Grader Issue - but course is excellent

By Kim S K

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Jan 7, 2018

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By Charlie d T

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Jul 31, 2018

bugs in the homework

By Hamidreza M

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Apr 26, 2024

Aweful

By Sunandan S

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May 25, 2020

WTFF