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Docker is a way to statically link everything short of the Linux kernel into your application. Because you can access GPUs while using a Docker container, it's also a great way to link Tensorflow or any dependencies your machine learning code has so anyone can use your work. You can distribute a reproducible machine learning project that requires little to no setup on the part of the user, so inst
I thought that the results from pix2pix by Isola et al. looked pretty cool and wanted to implement an adversarial net, so I ported the Torch code to Tensorflow. The single-file implementation is available as pix2pix-tensorflow on github. Here are some examples of what this thing does, from the original paper: "The Sorcerer's Stone, a rock with enormous powers, such as: lead into gold, horses into
Recently, I made a Tensorflow port of pix2pix by Isola et al., covered in the article Image-to-Image Translation in Tensorflow. I've taken a few pre-trained models and made an interactive web thing for trying them out. Chrome is recommended. The pix2pix model works by training on pairs of images such as building facade labels to building facades, and then attempts to generate the corresponding out
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