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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI
42,423 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, challenge...
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, challenge...
Top reviews
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
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 - 5626 of 5,626 Reviews for Convolutional Neural Networks
By Sunandan S
•May 25, 2020
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