Advanced Computer Vision with TensorFlow
Master advanced computer vision techniques using TensorFlow for object detection and image analysis.
Master advanced computer vision techniques using TensorFlow for object detection and image analysis.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full TensorFlow: Advanced Techniques Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(497 ratings)
39,605 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
Powered by
What you'll learn
Implement advanced object detection and localization models
Master image segmentation using FCN and U-Net architectures
Apply transfer learning techniques with ResNet-50
Develop custom object detection models
Implement visualization and model interpretation methods
Build practical computer vision applications
Skills you'll gain
This course includes:
2.6 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course explores advanced computer vision techniques using TensorFlow. Students learn to implement and customize object detection models, image segmentation networks, and model interpretation methods. The curriculum covers transfer learning with ResNet-50, implementation of FCN and U-Net architectures, and advanced visualization techniques including class activation maps and saliency maps. Through hands-on projects, learners develop practical skills in building and optimizing computer vision models for real-world applications.
Introduction to Computer Vision
Module 1 · 4 Hours to complete
Object Detection
Module 2 · 5 Hours to complete
Image Segmentation
Module 3 · 4 Hours to complete
Visualization and Interpretability
Module 4 · 5 Hours to complete
Fee Structure
Instructors
Award-Winning AI Researcher, Author, and Instructor
Laurence Moroney is a distinguished Artificial Intelligence (AI) researcher, best-selling author, and award-winning educator who has dedicated his career to making AI and Machine Learning (ML) accessible to people worldwide. Based in Seattle, Washington, Laurence has become a prominent figure in the AI community, leveraging his expertise and passion for teaching to empower millions of learners through Massive Open Online Courses (MOOCs), YouTube tutorials, and live talks. He has delivered numerous keynotes and served as a fellow of the AI Fund, advising several innovative AI startups.Laurence’s mission is to simplify complex AI concepts and help professionals and hobbyists alike adopt and succeed with AI and ML technologies. As an educator, he has made substantial contributions to AI learning, developing accessible and impactful courses through platforms like DeepLearning.AI. His teaching philosophy is centered around practical, hands-on learning and real-world application, empowering students to create AI-powered software and systems that solve problems and drive innovation.In addition to his academic and professional endeavors, Laurence is an accomplished author of sci-fi novels, comic books, and a produced screenplay. He is an active member of the Science Fiction Writers of America, merging his love of technology and storytelling. When not diving into AI or working with technology, he enjoys crafting stories about the future of humanity and the role of advanced technologies in shaping our world. Laurence’s passion for coffee is well-known, and he often jokes about his excessive coffee intake, which fuels his work and creative pursuits.
AI Product Manager and Expert in AI Education
Eddy Shyu is a highly experienced AI Product Manager at Cisco, and was previously the Curriculum Product Manager at DeepLearning.AI. With a strong foundation in AI education and product management, Eddy has played a pivotal role in developing a wide range of online courses on Artificial Intelligence. Over the course of his career, Eddy has designed and built around 40 AI-focused online courses, which are available on prestigious platforms like Coursera, DeepLearning.AI, Udacity, and Cisco Networking Academy. His courses have reached thousands of learners globally, helping them master critical AI concepts and technologies.With a background in both AI education and AI product management, Eddy’s expertise bridges the gap between cutting-edge AI technologies and the needs of learners and businesses alike. His work at Cisco and DeepLearning.AI has enabled organizations and individuals to leverage AI for practical applications in various industries, particularly healthcare, technology, and business.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.8 course rating
497 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.