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Generative Model Development

Track :

Artificial Intelligence

Lessons no : 39

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What will you learn in this course?
  • Master designing generative AI models for image, text, and data synthesis using advanced techniques and neural networks
  • Implement deep learning algorithms to develop realistic and diverse generative models for practical applications
  • Apply generative adversarial networks (GANs) and variational autoencoders (VAEs) to create high-quality synthetic data
  • Optimize generative model architectures for improved accuracy, efficiency, and scalability in real-world projects
  • Evaluate and troubleshoot generative models to enhance output quality and reduce artifacts in generated data
  • Integrate generative models into existing AI workflows for creative content, data augmentation, and simulation tasks
  • Utilize Python and popular frameworks like TensorFlow and PyTorch for developing generative AI models
  • Design training strategies to improve convergence, stability, and diversity in generative model outputs

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  • Watch All Lessons
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Lessons | 39


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Rakibul_ Hasan

that was quite helpful!! 2025-08-25

s jafari

good 2025-02-14

Dipali Khatua

Excellent .. 2024-07-07

Md.Imtiaj Hossain

Getting a lot of help! 2023-12-31

Ayush Tiwari

good 2023-12-17

Rajesh Kumar

Intresting classes 2023-12-16

Komal Bharti

Very interesting classes 2023-12-15

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Generative Model Development course, In this course we'll explore creating AI models that generate data, from images to text, using advanced techniques.