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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI
42,459 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
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.
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5626 - 5631 of 5,631 Reviews for Convolutional Neural Networks
By Saravanan M
•Jan 29, 2018
Grader Issue - but course is excellent
By Kim S K
•Jan 7, 2018
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By Charlie d T
•Jul 31, 2018
bugs in the homework
By Daniel A M R
•Oct 2, 2024
non fatelo
By Hamidreza M
•Apr 26, 2024
Aweful
By Sunandan S
•May 25, 2020
WTFF