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Convolutional Neural Networks

Description

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.Read more.

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Learning Sequence

Convolutional Neural Networks is a part of one structured learning path.

Coursera
DeepLearning.AI

5 Courses 5 Months

Deep Learning