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135 lines
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135 lines
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<h1><a href="https://nn.labml.ai/diffusion/ddpm/index.html">විසරණ සම්භාවිතාව ආකෘති නිරූපණය කිරීම (DDPM)</a></h1>
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<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/diffusion/ddpm/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a> <a href="https://www.comet.com/labml/diffuse/view/FknjSiKWotr8fgZerpC1sV1cy/panels?utm_source=referral&utm_medium=partner&utm_campaign=labml"><img alt="Open In Comet" src="https://images.labml.ai/images/comet.svg?experiment=capsule_networks&file=model"></a></p>
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<p>මෙය <a href="https://pytorch.org">PyTorch</a> ක්රියාත්මක කිරීම/නිබන්ධනයකි කඩදාසි <a href="https://papers.labml.ai/paper/2006.11239">Denoising Diffusion සම්භාවිතාව ආකෘති</a> . </p>
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<p>සරළවකිවහොත්, අපි දත්ත වලින් රූපයක් ලබාගෙන පියවරෙන් පියවර ශබ්දය එක් කරමු. ඉන්පසු අපි සෑම පියවරකදීම එම ශබ්දය පුරෝකථනය කිරීමට ආකෘතියක් පුහුණු කර රූප ජනනය කිරීමට ආකෘතිය භාවිතා කරමු. </p>
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<p>ශබ්දයසහ <a href="https://nn.labml.ai/diffusion/ddpm/experiment.html">පුහුණු කේතය</a> පුරෝකථනය කරන <a href="https://nn.labml.ai/diffusion/ddpm/unet.html">UNET ආකෘතිය</a> මෙන්න. <a href="https://nn.labml.ai/diffusion/ddpm/evaluate.html">මෙම ගොනුවට</a> පුහුණු ආකෘතියකින් සාම්පල සහ අන්තර්නිවේශනයන් ජනනය කළ හැකිය. </p>
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<a href="https://papers.labml.ai">Trending Research Papers</a>
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