This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models.
Computer Vision Fundamentals with Google Cloud
About this Course
What you will learn
Understand at a high-level the types of problems computer vision may solve
Understand some of the key concepts and model architectures typically used using computer vision
Skills you will gain
- Convolutional Neural Network
- Advanced Machine Learning
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Syllabus - What you will learn from this course
Introduction to Computer Vision and Pre-built ML Models for Image Classification
Introduction to Computer Vision and Pre-built ML Models for Image Classification
Vertex AI and AutoML Vision on Vertex AI
Learn about Vertex AI and AutoML Vision on Vertex AI
Custom Training with Linear, Neural Network and Deep Neural Network models
Learn about Custom Training with Linear, Neural Network and Deep Neural Network models
Convolutional Neural Networks
Learn about Convolutional Neural Networks
Dealing with Image Data
Learn about dealing with Image Data
- 5 stars68.39%
- 4 stars22.79%
- 3 stars6.32%
- 2 stars1.72%
- 1 star0.76%
TOP REVIEWS FROM COMPUTER VISION FUNDAMENTALS WITH GOOGLE CLOUD
The course is good however for 2020 it seems out of date as it uses TensorFlow v1 which is way more complex as compared to the last east v2.
Amazing course! Definitely recommend the course for learning Google's way to handle images! ;)
Everything is good except Lab of Transfer learning was missing.
Frequently Asked Questions
Can I preview a course before enrolling?
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
What will I get when I enroll?
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
When will I receive my Course Certificate?
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
Why can’t I audit this course?
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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Last Updated: September 1, 2015
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