Neural Style Transfer with TensorFlow

In this 2-hour long project-based course, you will dive into the basics of Neural Style Transfer with TensorFlow. Through hands-on projects on Rhyme, you will develop an understanding of this technique and learn to apply it to stylize a given content image.

• Understand how Neural Style Transfer works
• Learn to create content and style models
• Compute content and style costs
• Optimize an image to retain content features and impart stylistic features

This course runs on Coursera's hands-on project platform, Rhyme, providing instant access to pre-configured cloud desktops with all necessary software and data. You will work with Python, Jupyter, and Tensorflow pre-installed, allowing you to focus solely on learning. Note: This course is optimized for learners in the North America region.