This course teaches the essentials of neural style transfer and guides learners through coding it from scratch in Pytorch. The learning outcomes include understanding neural style transfer, implementing it in Pytorch, training models, and interpreting results. The course covers topics such as Introduction to NST, Coding NST from scratch, Training and Results. The intended audience for this course includes individuals interested in deep learning, neural style transfer, and Pytorch programming.
Overview
Syllabus
- Introduction
- Explanation of NST Neural Style Transfer
- Coding NST from scratch
- Training and Results
- The reason you're here
Taught by
Aladdin Persson
