Course Summary
Learn the fundamentals of computer vision and deep learning, build a strong foundation in OpenCV, PyTorch, and TensorFlow, and apply your skills to real-world projects.Key Learning Points
- Gain a comprehensive understanding of computer vision and deep learning
- Learn to use popular frameworks like OpenCV, PyTorch, and TensorFlow
- Apply your skills to real-world projects and build a strong portfolio
Job Positions & Salaries of people who have taken this course might have
- Computer Vision Engineer
- USA: $111,000
- India: ₹1,500,000
- Spain: €36,000
- Machine Learning Engineer
- USA: $121,000
- India: ₹2,000,000
- Spain: €47,000
- Data Scientist
- USA: $118,000
- India: ₹1,800,000
- Spain: €42,000
Related Topics for further study
Learning Outcomes
- Develop a strong understanding of computer vision and deep learning concepts
- Gain proficiency in popular deep learning frameworks like PyTorch and TensorFlow
- Build a portfolio of real-world projects to showcase your skills
Prerequisites or good to have knowledge before taking this course
- Familiarity with Python programming language
- Knowledge of linear algebra and calculus
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
- Project-based
Similar Courses
- Deep Learning Nanodegree
- Artificial Intelligence Nanodegree
- Data Scientist Nanodegree
Related Education Paths
Notable People in This Field
- Founder of deeplearning.ai
- Co-Director of Stanford Institute for Human-Centered AI
Related Books
Description
Learn the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.Knowledge
- This program is designed to build on your skills in machine learning and deep learning. As such, it doesn't prepare you for a specific job, but expands your skills in the computer vision domain. These skills can be applied to various applications such as image and video processing, automated vehicles, smartphone apps, and more.
Outline
- Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Apply these concepts to vision tasks such as automatic image captioning and object tracking, and build a robust portfolio of computer vision projects. Work on a variety of computer vision and deep learning applications from basic image processing to automatic image captioning.
Summary of User Reviews
Learn computer vision skills and techniques with Udacity's Computer Vision Nanodegree program. This course received high ratings from users who found it to be comprehensive, engaging, and practical. The course covers topics such as image processing, object detection, and deep learning. One key aspect that many users thought was good was the hands-on projects that allowed them to apply the concepts they learned in real-world scenarios.Key Aspect Users Liked About This Course
Hands-on projectsPros from User Reviews
- Comprehensive curriculum
- Engaging and practical
- Hands-on projects
- Expert instructors
- Good pace and structure
Cons from User Reviews
- Some technical issues with the platform
- Occasional difficulty in understanding concepts
- Some users found the course to be challenging
- Limited interaction with instructors and peers
- Expensive compared to other online courses
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