Yokohama - Kannai Business Center

日本、〒231-0015 神奈川県横浜市中区尾上町4-57横浜尾上町ビルデイング 8階, 横浜, 日本, 231-0015
関内ビジネスセンターはJR関内駅北口から徒歩3分、市営地下鉄ブルーライン関内駅直結の横...

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Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

 21 時間
Stable Diffusion is a powerful deep learning model that can generate detailed images based on text descriptions.  This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level data scientists, machine learning engineers, deep learning researchers, and computer vision experts who wish to expand their knowledge and skills in deep learning for text-to-image generation. By the end of this training, participants will be able to:
  • Understand advanced deep learning architectures and techniques for text-to-image generation.
  • Implement complex models and optimizations for high-quality image synthesis.
  • Optimize performance and scalability for large datasets and complex models.
  • Tune hyperparameters for better model performance and generalization.
  • Integrate Stable Diffusion with other deep learning frameworks and tools.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange
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Introduction to Stable Diffusion for Text-to-Image Generation

 21 時間
Stable Diffusion is a powerful deep learning model that can generate detailed images based on text descriptions.  This instructor-led, live training (online or onsite) is aimed at data scientists, machine learning engineers, and computer vision researchers who wish to leverage Stable Diffusion to generate high-quality images for a variety of use cases. By the end of this training, participants will be able to:
  • Understand the principles of Stable Diffusion and how it works for image generation.
  • Build and train Stable Diffusion models for image generation tasks.
  • Apply Stable Diffusion to various image generation scenarios, such as inpainting, outpainting, and image-to-image translation.
  • Optimize the performance and stability of Stable Diffusion models.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange
続きを読む...

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