NVIDIA DLI: Generative AI with Diffusion Models Workshop

Dr. Mariofanna Milanova will deliver an NVidia Deep Learning Institute (DLI) workshop at the Arkansas State University campus.

About this Course

Thanks to improvements in computing power and scientific theory, generative AI is more accessible than ever before. Generative AI plays a significant role across industries due to its numerous applications, such as creative content generation, data augmentation, simulation and planning, anomaly detection, drug discovery, personalized recommendations, and more. In this course, learners will take a deeper dive into denoising diffusion models, which are a popular choice for text-to-image pipelines.

Learning Objectives

• Build a U-Net to generate images from pure noise
• Improve the quality of generated images with the denoising diffusion process
• Control the image output with context embeddings
• Generate images from English text prompts using the Contrastive Language—Image
• Pretraining (CLIP) neural network

Topics Covered

• U-Nets
• Diffusion
• CLIP
• Text-to-image Models

Location

Arkansas State University

Arkansas Biosciences Institute (ABI), Rm 107

504 University Loop, Jonesboro, AR 72401

Lunch: 12:30 - 1:30 pm

provided for all participants

Prerequisites

• A basic understanding of Deep Learning Concepts.
• Familiarity with a Deep Learning framework such as TensorFlow, PyTorch, or Keras.
• A laptop with a wifi connection

Final Review

• Review key learnings and wrap up questions.
• Complete the assessment to earn a certificate.
• Take the workshop survey.

Participants will receive a NVIDIA Deep Learning Institute (DLI) certificate after completing the assessment at the end of the workshop.

https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-FX-08+V1