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University of Colorado Boulder

Deep Learning Applications for Computer Vision

In this course, you’ll be learning about Computer Vision as a field of study and research. First we’ll be exploring several Computer Vision tasks and suggested approaches, from the classic Computer Vision perspective. Then we’ll introduce Deep Learning methods and apply them to some of the same problems. We will analyze the results and discuss advantages and drawbacks of both types of methods. We'll use tutorials to let you explore hands-on some of the modern machine learning tools and software libraries. Examples of Computer Vision tasks where Deep Learning can be applied include: image classification, image classification with localization, object detection, object segmentation, facial recognition, and activity or pose estimation. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://hua.dididi.sbs/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

状态:Convolutional Neural Networks
状态:Image Analysis
中级课程小时

精选评论

DM

5.0评论日期:Jun 16, 2022

Learnt many things and most exciting was Python code part

CC

5.0评论日期:Aug 24, 2024

Great content and clear, succinct explanations of the concepts!

AY

5.0评论日期:Jun 22, 2023

Great Course, The instructor explained the mathematical aspects of the course in a clear manner.

HT

5.0评论日期:Jan 12, 2025

A well comprehensive course with good explainations for terminologies and concepts in DL

AL

5.0评论日期:Jun 16, 2022

Very good introduction but the practical exercises are so easy.

JP

5.0评论日期:Jan 2, 2022

G​reat introductory course on deep learning for computer vision.

所有审阅

显示:20/21

Joed Henrique Paes
5.0
评论日期:Jan 3, 2022
Allyson Dias de Lima
5.0
评论日期:Jun 17, 2022
Alessandro Colombo
1.0
评论日期:Nov 28, 2022
Muhammed Ömer ERKOÇ
5.0
评论日期:Mar 5, 2025
Carlos Alberto Vargas Sanchez
5.0
评论日期:May 19, 2022
Erik Schneider
5.0
评论日期:Mar 5, 2022
Akila yoga
5.0
评论日期:Jun 22, 2023
Hoang Manh Thang
5.0
评论日期:Jan 13, 2025
Chris Cottam
5.0
评论日期:Aug 25, 2024
Debasree Mitra
5.0
评论日期:Jun 17, 2022
Felipe Velez Fernandez
5.0
评论日期:Feb 1, 2025
Manjot Sran
5.0
评论日期:Aug 15, 2024
BERGOR BEGUIEL BRAHIM
5.0
评论日期:Mar 5, 2022
Jeferson Orley Restrepo Bedoya
5.0
评论日期:Feb 10, 2025
Andres Felipe Rivera Torres
5.0
评论日期:Apr 7, 2023
SIRIGIREDDY SIVA SHASHIDHAR REDDY
5.0
评论日期:Oct 25, 2024
Triết Nguyễn Minh
4.0
评论日期:May 29, 2023
Artur Baima Silveira
4.0
评论日期:Oct 24, 2024
Abhishek Ranjan
4.0
评论日期:Jul 23, 2022
K SAMEEHA ANJUM
4.0
评论日期:Oct 29, 2024