AI Image Generation with Stable Diffusion using KerasCV
Shows how to implement AI image generation with Stable Diffusion via KerasCV, covering pipelines and best practices. Date: 2023-09-21.
Event
Activities tracked
4
Pre-registration is required for admission: https://www.aicamp.ai/event/eventdetails/W2023092114 (Venue security may not let you in if you don't pre-register at the link above)
Description: Keras Community Day is a series of events focused on Keras and machine learning, led by machine learning communities around the world. It aims to provide a platform for knowledge sharing, networking, and collaboration, focusing specifically on Keras, a powerful open-source deep learning framework.
Participants will have the unique opportunity to dive deep into the world of Keras, discover its latest advancements, and explore the transformative applications of AI. Topics including:
Whether you are a beginner seeking an introduction to Keras or an experienced practitioner looking to enhance your skills, this event will cater to all levels of expertise.
Agenda:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
Partners/Sponsors: We are actively seeking sponsors to support our AI developers community. Sponsors will receive speaking opportunities, sponsor recognition, and post-event emails to our vast membership base of 20k+ in NYC or 250K+ developers in global.
Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #nyc channel)
Sessions & talks
Showing 1–4 of 4 · Newest first
Shows how to implement AI image generation with Stable Diffusion via KerasCV, covering pipelines and best practices. Date: 2023-09-21.
Explores multi-backend support in Keras and how TensorFlow fits into the evolving multi-backend landscape. Date: 2023-09-21.
Intro to Keras Core covering core concepts and APIs; date: 2023-09-21.
Demonstrates modular NLP pipelines using KerasNLP, enabling flexible tokenization, embeddings, and model composition. Date: 2023-09-21.