Hands-on with Computer Vision and Deep Learning
Intermediate
This course focuses on implementation of Computer Vision and Deep Learning case studies using the state-of-art tools and frameworks that are used extensively in the industry.
About The Course
Hands-on with Computer Vision and Deep Learning is one of it's kind course which focuses on rigorous hands-on implementation of Computer Vision and Deep Learning applications and case studies. For our implementation we are using the state-of-art frameworks like OpenCV, dlib etc. This course starts with the implementation of basic image processing operations, followed by basic computer vision and deep learning implementations and ending with case studies on the same. This course will be very helpful to those who want to implement and bring their ideas into action regarding computer vision and deep learning. Each tutorial in the course is designed in the form of modules, i.e., a step by step guide to understand and write the code for developing the application.
Why Take This Course?
This course supports the perfect hands-on activities on the topic and can be used while participating at the Boot Camp/Workshop session. This course enables the learner to apply the conceptual knowledge and perform real-time hands-on activities. It also discusses some case studies/projects which can be used to explore many more similar applications or project topics by the learner.
The one year validity of this course content will help the learner to access the content at their own pace and convenience.
Prerequisites and Requirements
Good to have knowledge of basic Linux operations.
Good to have basic understanding of Python but not mandatory.
NOTE:
- The PC/Laptop must have Linux (Ubuntu) installed.
- For performing hands-on with real-time processing, it is compulsory to interface Webcam/USB camera. (Not applicable to laptops with functional Webcams)