This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Deep Learning Applications for Computer Vision
Université du Colorado à BoulderÀ propos de ce cours
Basic calculus (differentiation and integration), linear algebra
Ce que vous allez apprendre
Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks.
Learners will be able to describe the process behind classic algorithmic solutions to Computer Vision tasks and explain their pros and cons.
Learners will be able to use hands-on modern machine learning tools and python libraries.
Compétences que vous acquerrez
- Computer Vision
- Convolutional Neural Network
- Machine Learning
- Deep Learning
Basic calculus (differentiation and integration), linear algebra
Offert par
Commencez à travailler pour obtenir votre master
Programme de cours : ce que vous apprendrez dans ce cours
Introduction and Background
Classic Computer Vision Tools
Image Classification in Computer Vision
Neural Networks and Deep Learning
Avis
- 5 stars75 %
- 4 stars17,50 %
- 3 stars2,50 %
- 1 star5 %
Meilleurs avis pour DEEP LEARNING APPLICATIONS FOR COMPUTER VISION
Great introductory course on deep learning for computer vision.
Learnt many things and most exciting was Python code part
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