Introduction to Image Generation

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Course Features

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Duration

8 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

8 hours

Course Description

This course will introduce diffusion models, a class of machine learning models that have recently demonstrated promise in the field of image generation. The models that are based on diffusion draw inspiration from the field of physics, particularly thermodynamics. In the past couple of years, models for diffusion have become well-known in research as well as industry. The diffusion models are the basis of many advanced imaging models and tools that are available on Google Cloud. This course will introduce you to the theories of diffusion models, and how to build and implement models using Vertex AI.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Machine learning,Deep learning,Convolutional neural nets (CNNs),Python

What You Will Learn

How diffusion models work

Real use-cases for diffusion models

Unconditioned diffusion models

Advancements in diffusion models (text-to-image)

Target Students

Data scientists

Machine learning engineers

Researchers

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