Unlock the Power of Computer Vision: Free Udemy Course on Object Detection & Image Classification with Pytorch

This comprehensive course on Object Detection & Image Classification with Pytorch & SSD provides a project-based learning experience that equips students with the essential skills needed to create advanced machine learning models. Ideal for software engineers and machine learning professionals, the class covers fundamental concepts in object detection and image classification while guiding learners through practical applications using popular frameworks and libraries such as Pytorch, Keras, and OpenCV. Students will not only grasp theoretical insights but also engage in building real-world projects ranging from manufacturing defect detection systems to waste classification solutions, empowering them to automate and enhance processes in various industries.

As technology continues to shape our world, mastering object detection systems opens up opportunities in fields like manufacturing, agriculture, and smart city planning. This course is perfect for those seeking to improve their technical expertise and software development skills. Whether you are looking to enhance your current abilities or embarking on a brand new career path, this course offers a comprehensive approach by blending rigorous training with practical implementation through exciting projects that simulate real-life challenges.

What you will learn:

• Learn the fundamentals of object detection and image classification
• Build object detection systems using Pytorch, YOLOv, SSD, and Faster R-CNN
• Create a waste classification model and a manufacturing defect detection system using OpenCV and Keras

Course Content:

• Sections: 10
• Lectures: 50
• Duration: 6 hours

Requirements:

• Basic knowledge of Python
• No experience in object detection required

Who is it for?

• Software engineers
• Machine learning engineers

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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