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 www.paepper.com
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.
| | dennybritz.com
Speeding up your Neural Network with Theano and the GPU · Denny's Blog
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| | The full code is available as an JupyterNotebook on Github!
| | www.nicktasios.nl
Latent Diffusion Series: MNIST Classifier | NICK TASIOS
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| | In the Latent Diffusion Series of blog posts, I'm going through all components needed to train a latent diffusion model to generate random digits from the MNIST dataset. In this first post, we will tr
| | michael-lewis.com
A machine learning glossary for hackers · 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.
| | pyimagesearch.com
Introduction to Distributed Training in PyTorch - PyImageSearch
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| Learn how to use PyTorch to conduct distributed training with Python. This post is a gentle introduction to PyTorch and distributed training for the deep learning practitioner.