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 blog.fastforwardlabs.com
Under the Hood of the Variational Autoencoder (in Prose and Code)
| | www.depthfirstlearning.com
Variational Inference with Normalizing Flows ยท Depth First Learning
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| | jxmo.io
Introduction to variational autoencoders - Jack Morris
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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | sebastianraschka.com
Losses Learned
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| | I'm an LLM Research Engineer with over a decade of experience in artificial intelligence. My work bridges academia and industry, with roles including senior staff at an AI company and a statistics professor. My expertise lies in LLM research and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations.
| | teddykoker.com
Histopathologic Cancer Detection with Transfer Learning | Teddy Koker
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| In this post we will be using a method known as transfer learning in order to detect metastatic cancer in patches of images from digital pathology scans.