Mastering Neural Style Transfer- Tensorflow, Keras Python

Mastering Neural Style Transfer: Tensorflow, Keras & Python, available at $19.99, has an average rating of 4.42, with 33 lectures, based on 6 reviews, and has 119 subscribers.

You will learn about Understand Neural Style Transfer and its application in combining content and style in images. Learn to implement Neural Style Transfer algorithms using Python and Keras. Gain proficiency in image preprocessing techniques and using pre-trained models like VGG19. Understand the concept of loss functions and their role in style transfer optimization. Acquire skills in optimizing style transfer using an optimizer with learning rate decay. Learn to save and display generated images during the optimization process. Gain practical experience in implementing Neural Style Transfer algorithms. This course is ideal for individuals who are Beginners interested in deep learning and computer vision or Students studying computer science, artificial intelligence, or related fields or Professionals looking to enhance their skills in neural style transfer and generative adversarial networks or Developers interested in learning how to implement image processing techniques using Python and Keras or Individuals with a curiosity for creative applications of artificial intelligence in the field of image generation and style transfer It is particularly useful for Beginners interested in deep learning and computer vision or Students studying computer science, artificial intelligence, or related fields or Professionals looking to enhance their skills in neural style transfer and generative adversarial networks or Developers interested in learning how to implement image processing techniques using Python and Keras or Individuals with a curiosity for creative applications of artificial intelligence in the field of image generation and style transfer.

Enroll now: Mastering Neural Style Transfer: Tensorflow, Keras & Python

Summary

Title: Mastering Neural Style Transfer: Tensorflow, Keras & Python

Price: $19.99

Average Rating: 4.42

Number of Lectures: 33

Number of Published Lectures: 33

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Understand Neural Style Transfer and its application in combining content and style in images.

Learn to implement Neural Style Transfer algorithms using Python and Keras.

Gain proficiency in image preprocessing techniques and using pre-trained models like VGG19.

Understand the concept of loss functions and their role in style transfer optimization.

Acquire skills in optimizing style transfer using an optimizer with learning rate decay.

Learn to save and display generated images during the optimization process.

Gain practical experience in implementing Neural Style Transfer algorithms.

Who Should Attend

Beginners interested in deep learning and computer vision

Students studying computer science, artificial intelligence, or related fields

Professionals looking to enhance their skills in neural style transfer and generative adversarial networks

Developers interested in learning how to implement image processing techniques using Python and Keras

Individuals with a curiosity for creative applications of artificial intelligence in the field of image generation and style transfer

Target Audiences

Beginners interested in deep learning and computer vision

Students studying computer science, artificial intelligence, or related fields

Professionals looking to enhance their skills in neural style transfer and generative adversarial networks

Developers interested in learning how to implement image processing techniques using Python and Keras

Individuals with a curiosity for creative applications of artificial intelligence in the field of image generation and style transfer

Step into the captivating world of Neural Style Transfer, where ordinary images are transformed into mesmerizing works of art using cutting-edge techniques. Get ready for an immersive journey that will empower you to unleash your creativity and unlock the full potential of this revolutionary technology, guided by experts in the field.

Throughout this comprehensive course, you will explore the fascinating realm of artistic image generation, starting with the fundamentals of Neural Style Transfer and advancing to delve into the realm of advanced generative adversarial networks. Armed with the powerful trio of Google Colab, TensorFlow, and Keras, you’ll have all the tools you need to bring your artistic visions to life.

Unleash your imagination without the constraints of hardware limitations, as you harness the unparalleled computing capabilities of Google Colab’s cloud platform. This means you can focus wholeheartedly on refining your artistry and honing your skills, leaving the technical worries behind.

By the course’s conclusion, you will not only possess a profound understanding of Neural Style Transfer and its practical implementation, but you’ll also have a captivating portfolio of awe-inspiring images that showcase your newfound talent. As the demand for AI-driven image manipulation skyrockets, this course will provide you with the expertise that employers across various industries actively seek.

Embrace a world of boundless creative possibilities and set forth on a rewarding career journey. Enroll now to unlock the gateway to thrilling job opportunities in graphic design, advertising, entertainment, and beyond. Allow your artistic vision to soar as you master the art of Neural Style Transfer, creating captivating visuals that will leave a lasting impression on the world!

Course Curriculum

Chapter 1: Fundamentals

Lecture 1: Introduction

Lecture 2: What is Neural Style Transfer?

Lecture 3: About this Project

Lecture 4: Why Should we Learn?

Lecture 5: Applications

Lecture 6: Why Keras and Python?

Lecture 7: Why Google Colab?

Chapter 2: Model Building and Prediction

Lecture 1: Setup the Working Directory

Lecture 2: Contents in Directory

Lecture 3: Activate GPU

Lecture 4: Checking the availability and usage of GPUs

Lecture 5: Mount Google Drive to Google Colab

Lecture 6: Necessary library imports

Lecture 7: Setting the directory path

Lecture 8: Displaying the base image and the style reference

Lecture 9: Defining the desired dimensions

Lecture 10: Preprocesses an image

Lecture 11: Convert the generated image back to its original format

Lecture 12: Calculate the Gram matrix

Lecture 13: Calculates the style loss

Lecture 14: Calculates the content loss

Lecture 15: Calculates the total variation loss

Lecture 16: Loading the VGG19

Lecture 17: Creating a dictionary

Lecture 18: Building a feature extraction model

Lecture 19: Define the names of the style layers and the content layer

Lecture 20: Set the weights

Lecture 21: Calculates the total loss

Lecture 22: Computes the loss and gradients

Lecture 23: Set up the optimizer

Lecture 24: Preprocess the base image, style reference image, and combination image

Lecture 25: Perform the style transfer optimization loop

Lecture 26: Save and display the final generated image

Instructors

Karthik Karunakaran, Ph.D.
Transforming Real-World Problems with the Power of AI-ML

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 0 votes

4 stars: 2 votes

5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!