Start solving Computer Vision problems using Deep Learning techniques and the PyTorch framework. Dive into the architecture of Neural Networks, and learn how to train and deploy them on the cloud.

Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services. (Courses are (a little) oversubscribed and we ...

Dive deep into Stable Diffusion. Learn all the techniques of generating images, fine-tuning Stable Diffusion on your own images and even training a GPT language model. (Courses are (a little) ...

Build a solid understanding of OpenCV tools used for Image Processing, Computer Vision, and Video Processing, and lay a strong foundation for solving Computer Vision problems. (Courses are (a little) ...

Gain in-depth knowledge about Neural Networks, prepare datasets and study DeepNet architectures used for solving various Computer Vision problems. (Courses are (a little) oversubscribed and we ...

This is the world’s most comprehensive curation of beginner to expert level courses in Computer Vision, Deep Learning, and AI. Prepare yourself for an exciting journey into the world of AI. (Courses ...

Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications. Prerequisites: No AI / ...

PALO ALTO, CA– JetBrains, the creators of PyCharm, the popular Python IDE for data science and web development, has formed a new partnership with OpenCV, the world’s largest library for computer ...

Computer vision is a field that enables machines to interpret and understand the visual world. Its applications are rapidly expanding, from healthcare and autonomous vehicles to security systems and ...