r-isachenko/2021-DGM-MIPT-course
Deep Generative Models course, 2021
This is an academic course providing a deep dive into modern Deep Generative Models, primarily for computer vision applications. It covers theoretical underpinnings, practical implementation with code, and methods for quality assessment of models like VAEs, GANs, and Normalizing Flows. It is designed for graduate students or AI/ML researchers looking to advance their understanding of generating synthetic data and images.
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Use this if you are a student or researcher with a strong background in deep learning and want to learn how to build and evaluate advanced generative AI models for tasks like image synthesis.
Not ideal if you are a beginner in deep learning, as it assumes prior knowledge, or if you are looking for a plug-and-play tool rather than an educational resource.
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Dec 25, 2021
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