Enrollments Open for Certification Course on Artificial Intelligence and Deep Learning by IIT Roorkee

  Apply Now

Project - Introduction to Neural Style Transfer using Deep Learning & TensorFlow 2 (Art Generation Project)

Project - Introduction to Neural Style Transfer using Deep Learning & TensorFlow 2 (Art Generation Project)

0% completed
4 Concepts | 14 Assessments | 139 Learners

Welcome to this project on the Neural Style Transfer. In this project, you will use TensorFlow 2 to generate an image that is an artistic blend of a content image and style image.

Neural Artistic Style Transfer finds a wide range of applications to fancily modify images. This field has so much influenced the technical world that many apps, such as Prisma, have received great craze amongst the users. In recent days, decent work has also been done in this area, which served as a holy grail to our project. The heart of this capability is the convolutional neural network, often used for modern image processing. The work of Leon A. Gatys, et al on ”A Neural Algorithm of Artistic Style”[1], has first come up with such an approach using a powerful pre-trained VGG19 model trained on the famous ImageNet database images.

Skills you will develop:

  1. TensorFlow 2
  2. Python Programming
  3. Numpy
  4. Matplotlib

Instructor:

Machine Learning Engineer @ CloudxLab