Deep Learning Image Generation with GANs and Diffusion Model
Published 2/2023
Created by Neuralearn Dot AI
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 10h 7m ) | Size: 5.14 GB
Face Generation with WGANs, ProGANs and Diffusion Model. Image super-resolution with SRGAN, Mask removal with CycleGAN
What you'll 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
Requirements
Basic Knowledge of Python
Basic Knowledge of Tensorflow
Access to an internet connection, as we shall be using Google Colab (free version)
Description
Image generation has come a long way, back in the early 2010s generating random 64x64 images was still very new. Today we are able to generate high quality 1024x1024 images not only at random, but also by inputting text to describe the kind of image we wish to obtain.In this course, we shall take you through an amazing journey in which you'll master different concepts with a step by step approach. We shall code together a wide range of Generative adversarial Neural Networks and even the Diffusion Model using Tensorflow 2, while observing best practices.You shall work on several projects like: Digits generation with the Variational Autoencoder (VAE), Face generation with DCGANs,then we'll improve the training stability by using the WGANs andfinally we shall learn how to generate higher quality images with the ProGAN and the Diffusion Model.From here, we shall see how to upscale images using the SrGAN and then also learn how to automatically remove face masks using the CycleGAN.If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!This course is offered to you by Neuralearn. And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum, will help us better this course. Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.YOU'LL ALSO GET:Lifetime access to This CourseFriendly and Prompt support in the Q&A sectionUdemy Certificate of Completion available for download30-day money back guaranteeEnjoy!!!
Who this course is for
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.
Homepage
https://www.udemy.com/course/deep-learning-image-generation-with-gans-and-diffusion-model/Fikper
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