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Neural Style Transfer using Keras and Tensorflow

Neural Style Transfer using Keras and Tensorflow

  • English
  • Artificial Intelligence
  • Computer VisionComputer Vision
  • (113)
  • Project length: 3h 35m

Neural Style Transfer is the process in which we create a new image which has the style of one image and content of another. In this journey, you will learn the basics of keras, tensorflow and how to create images in other style.

Overview

Neural Style Transfer using Keras and Tensorflow

This tutorial will cover all the details (resources, tools, languages etc) that are necessary for neural style transfer. You will be guided through all the steps and concepts, starting from the basic ones like setting up the right tools and frameworks to the more advanced topics related to the development. And ultimately you will be able to create new images using content of one image and style of another.

What are the requirements?

  • Python basics
  • Tensorflow-Keras basics
  • Basic neural network concepts
  • And the most important is: desire to learn

What is the target audience?

  • Learners who want to enhance their knowledge
  • This course will help the students who are doing their final projects

Project Outline

Session 0: Welcome

  • Welcome to the journey.

Session 1: Intro to Neural Style Transfer

  • What is Neural Style Transfer
  • Why care about deep learning?

Session 2: Keras Basics

  • Keras basics 1
  • Keras basics 2
  • Keras basics 3

Session 3: Image basics

  • Image basics 1
  • Image basics 2

Session 4: Coding Neural Style Transfer

  • Coding Neural Style Transfer 1
  • Coding Neural Style Transfer 2
  • Coding Neural Style Transfer 3
  • Coding Neural Style Transfer 4
  • Coding Neural Style Transfer 5
  • Coding Neural Style Transfer 6
  • Coding Neural Style Transfer 7
  • Coding Neural Style Transfer 8
  • Coding Neural Style Transfer 9
  • Coding Neural Style Transfer 10

Thank You

Reviews

Average rating

5(113 Reviews)