Machine Learning – Modern Computer Vision & Generative AI
English | Tutorial | Size: 1.04 GB
In this 6 hr course, you will explore the fields of computer vision and generative AI by working with tools like KerasCV, Python, TensorFlow, and JAX. From image recognition and object detection to the creative capabilities of Stable Diffusion, this course covers practical skills to master these cutting-edge technologies.
What I will be able to do after this course
Apply computer vision techniques using the KerasCV library.
Build image recognition models and fine-tune pre-trained architectures.
Implement object detection frameworks and construct custom datasets.
Harness generative AI methods to create art and content with Stable Diffusion.
Utilize TensorFlow, PyTorch, and JAX to solve real-world AI challenges.
Course Instructor(s)
The instructor, known as Lazy Programmer, is a seasoned data scientist and software engineer with years of experience in machine learning and practical deployment of AI solutions. Renowned for clear and approachable teaching methods, the instructor ensures learners understand complex topics through hands-on practice and engaging explanations.
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