Download Udemy – Introduction to Diffusion Models 2023-5

Introduction to Diffusion Models

Description

Introduction to Diffusion Models, the training course for introducing diffusion models has been published by Yudemi Academy. This course explores the fascinating world of diffusion models, starting with the basic research paper and progressing to advanced applications such as image generation, inpainting, animations, etc. Combining a theoretical approach with practical implementation using PyTorch, this course will equip you with the knowledge and expertise to excel in this exciting field of generative artificial intelligence.

Advanced Image Generation: Based on the basics, we cover advanced techniques for image generation using diffusion models. Troubleshooting and DALL-E-like Applications: Discover how diffusion models can be used for troubleshooting, enabling you to restore missing or damaged portions of images with stunning accuracy. After this session, you will have a deep understanding of how inpainting works with models such as stable diffusion or DALL-E and the knowledge needed to modify it according to your needs. Gain a deep understanding of stable diffusion by reviewing and analyzing the source code. This enables you to effectively use sustainable diffusion in your industrial and research projects in addition to using the API.

What you will learn

  • How do diffusion models work?
  • Implementing DeepFusion models from scratch using PyTorch
  • Deep familiarity with diffusion models
  • Deep Diffusion Analysis: Opening the Black Box
  • Making great animations with Deep Fusion models
  • A review of influential research articles

Who is this course suitable for?

  • For engineers and programmers
  • For students and researchers
  • To entrepreneurs, CEOs and CTOs
  • Machine learning enthusiasts

Introduction to Diffusion Models course specifications

  • Publisher: Udemy
  • teacher: Maxime Vandegar
  • English language
  • Education level: Intermediate
  • Number of courses: 48
  • Training duration: 8 hours and 3 minutes

At the beginning of the course chapters on 10/2023

Course prerequisites

  • Basic programming knowledge
  • Basic Machine Learning knowledge

Pictures

Introduction to Diffusion Models

Sample video

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 138 MB

File(s) password: www.downloadly.ir

Size

3.13 GB

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