Deep Learning Image Generation with GANs and Diffusion Model

Face Generation with WGANs, ProGANs and Diffusion Model. Image super-resolution with SRGAN, Mask removal with CycleGAN
4.27 (54 reviews)
Udemy
platform
English
language
Data Science
category
Deep Learning Image Generation with GANs and Diffusion Model
805
students
10 hours
content
Aug 2023
last update
$59.99
regular price

Why take this course?

🌟 Face Generation with WGANs, ProGANs and Diffusion Model 🌟

🚀 Course Description:

Image generation has transformed dramatically over the past decade. What once was a novelty to generate simple 64x64 images is now an art that can create high-resolution 1024x1024 images from mere text descriptions. This course, brought to you by Neuralearn, will take you on an exciting ride through the world of deep learning image generation, where you'll master cutting-edge techniques in a structured and comprehensive manner.

🔥 What You'll Learn:

  • Mastery of GANs: Understand Generative Adversarial Networks (GANs) and their variations like DCGANs, WGANs, and ProGANs to create stunning images and textures.
  • Deep Dive into Tensorflow 2: Code your own models using one of the most popular deep learning frameworks, Tensorflow 2, and learn best practices along the way.
  • Hands-On Projects: Engage in practical projects such as:
    • Generating digits with a Variational Autoencoder (VAE) 🔬
    • Crafting faces using DCGANs and enhancing training stability with WGANs 🖼️
    • Producing high-quality images with ProGANs and Diffusion Models ✨
    • Upscaling images with Super-Resolution Generative Adversarial Networks (SRGAN) 📸
    • Removing face masks automatically using CycleGANs 😷

📚 Course Structure:

  • An introductory overview of image generation and the role of GANs.
  • In-depth tutorials on implementing different types of GANs, including their architectures and workings.
  • A step-by-step guide to using Diffusion Models for generating high-fidelity images.
  • Real-world projects that will allow you to apply your knowledge and hone your skills.
  • Discussions on the importance of hyperparameter tuning, dataset curation, and model evaluation.

🤝 Community Engagement:

  • We encourage active participation in our community forum where you can share your progress, ask questions, and receive feedback from peers and instructors alike. Your inputs are vital to enhancing this course!

🎉 Who Should Take This Course?

This course is designed for ambitious learners who aspire to delve deeper into the field of deep learning, particularly in image generation. Whether you're a data scientist, machine learning enthusiast, or simply someone with a passion for AI and its applications, this course will equip you with the knowledge and skills necessary to push your career to new heights.

🎓 Join Us on This Adventure

With Neuralearn's commitment to quality education and a supportive learning environment, you're not just taking a course; you're embarking on a transformative journey in the realm of AI. We're excited to be your guides as you master these powerful tools and techniques.

Enroll now and let's create the future together! 🚀🎓✨

Course Gallery

Deep Learning Image Generation with GANs and Diffusion Model – Screenshot 1
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Screenshot 3Deep Learning Image Generation with GANs and Diffusion Model
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Screenshot 4Deep Learning Image Generation with GANs and Diffusion Model

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5116328
udemy ID
27/01/2023
course created date
18/02/2023
course indexed date
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