Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 22 Minute(s)
Language
English
Taught by
Karthik Karunakaran, Ph.D.
Rating
3 views
Course Overview
Hands-on Neural Style Transfer: Creating Artistic Images using Tensorflow, Keras, Python, and Google Colab
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 Content
- 2 section(s)
- 33 lecture(s)
- Section 1 Fundamentals
- Section 2 Model Building and Prediction
What You’ll 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.
Skills covered in this course
Reviews
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DDyurtaev@gmail.com
it is great, I can see a working exam. background is missing
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BBoris Reif
I agree with the verdict of Thomas M., another user who gave feedback on this course: "Don't expect the concepts or mathematics to be explained at all, but if you just want to get some code up and running that does Neural Style Transfer, this will get you there." The code is clear and every line gets explained. The audio is very good and so are the videos. Unfortunately, no deeper insights are provided. Neither artistically, nor technically. The mathematics behind it and the reason of why and how it works precisely are not discussed at all. That's a real shame. Nor is there any discussion on the parameters and their impact on the results. Sources are not provided either. The course description oversells on all these points. However, this 'course' might be useful for beginners to get you 'up and running' quickly.
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TThomas Mitchell
Don't expect the concepts or mathematics to be explained at all, but if you just want to get some code up and running that does Neural Style Transfer, this will get you there.
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DDeepika M
Now I can make my artistic images. Thank you.
