Deep Learning Image Generation with GANs and Diffusion Model

Deep Learning Image Generation with GANs and Diffusion Model, available at $59.99, has an average rating of 3.8, with 34 lectures, based on 43 reviews, and has 702 subscribers.

You will learn about Understanding how variational autoencoders work Image generation with variational autoencoders Building DCGANs with Tensorflow 2 More stable training with Wasserstein GANs in Tensorflow 2 Generating high quality images with ProGANs Building mask remover with CycleGANs Image super-resolution with SRGANs Advanced Usage of Tensorflow 2 Image generation with Diffusion models How to code generative A.I architectures from scratch using Python and Tensorflow This course is ideal for individuals who are Beginner Python Developers curious about Deep Learning. or People interested in using A.I and deep learning to generate images or People interested in generative adversarial networks (GANs) , other more advanced GANs and DIffusion Models or Practitioners interested in learning to building GANs and Diffusion models from scratch or Anyone who wants to master Image super-resolution using GANs or Software developers who want to learn how state of art Image generation models are built and trained using deep learning. It is particularly useful for Beginner Python Developers curious about Deep Learning. or People interested in using A.I and deep learning to generate images or People interested in generative adversarial networks (GANs) , other more advanced GANs and DIffusion Models or Practitioners interested in learning to building GANs and Diffusion models from scratch or Anyone who wants to master Image super-resolution using GANs or Software developers who want to learn how state of art Image generation models are built and trained using deep learning.

Enroll now: Deep Learning Image Generation with GANs and Diffusion Model

Summary

Title: Deep Learning Image Generation with GANs and Diffusion Model

Price: $59.99

Average Rating: 3.8

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

• Understanding how variational autoencoders work
• Image generation with variational autoencoders
• Building DCGANs with Tensorflow 2
• More stable training with Wasserstein GANs in Tensorflow 2
• Generating high quality images with ProGANs
• Building mask remover with CycleGANs
• Image super-resolution with SRGANs
• Advanced Usage of Tensorflow 2
• Image generation with Diffusion models
• How to code generative A.I architectures from scratch using Python and Tensorflow

Who Should Attend

• Beginner Python Developers curious about Deep Learning.
• People interested in using A.I and deep learning to generate images
• People interested in generative adversarial networks (GANs) , other more advanced GANs and DIffusion Models
• Practitioners interested in learning to building GANs and Diffusion models from scratch
• Anyone who wants to master Image super-resolution using GANs
• Software developers who want to learn how state of art Image generation models are built and trained using deep learning.

Target Audiences

• Beginner Python Developers curious about Deep Learning.
• People interested in using A.I and deep learning to generate images
• People interested in generative adversarial networks (GANs) , other more advanced GANs and DIffusion Models
• Practitioners interested in learning to building GANs and Diffusion models from scratch
• Anyone who wants to master Image super-resolution using GANs
• Software developers who want to learn how state of art Image generation models are built and trained using deep learning.