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Rethinking Batch in BatchNorm :: Read. Hack. Learn. Repeat. - This blog features state of the art applications in machine learning with a lot of PyTorch samples and deep learning code. You will learn about neural network optimization and potential insights for artificial intelligence for example in the medical domain.
| | michael-lewis.com
A machine learning glossary for hackers ยท Michael I Lewis
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| | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.
| | codeincomplete.com
AI, ML, and Large Language Models | Jake Gordon
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| | Personal Website for Jake Gordon
| | danielegrattarola.github.io
Pitfalls of Graph Neural Network Evaluation 2.0 - Daniele Grattarola
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| | Artificial intelligence scientist
| | kvfrans.com
Variational Autoencoders Explained
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| In my previous post about generative adversarial networks, I went over a simple method to training a network that could generate realistic-looking images. However, there were a couple of downsides to using a plain GAN. First, the images are generated off some arbitrary noise. If you wanted to generate a