Deep Learning for Computer Vision
From Pixels to Semantics
4.76 (267 reviews)
9 382
students
10 hours
content
Apr 2023
last update
$13.99
regular price
What you will learn
Build solid understanding of Computer vision foundations, using traditional and Deep Learning methods
Deep understanding of Conolutional Neural Networks and their usage in computer vision
Build practical projects with ConvNets, like image classification, multi-object detection and semantic segmentations
Understand and practice the concepts of Transfer Learning in practical problems
Learn how to visualize and debug ConvNets and understand their underlying dynamics in a practical way
Learn how to use and apply data augmentation and how to deal with large and small datasets using ConvNets
Understand the basics of dealing with time and video data using Spatio-temporal models
Understand the basics of 3D Deep Learning and how to deal with 3D data sets
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Related Topics
4661416
udemy ID
26/04/2022
course created date
05/05/2022
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