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Are there any resnet implementations in tensorflow? I came across a few (e.g. https://github.com/ry/tensorflow-resnet, https://github.com/xuyuwei/resnet-tf) but these implementations have some bugs (e.g. see the Issues section on the respective github page). I am looking to train imagenet using resnet and looking for tensorflow implementations.
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ResNets are called Residual Networks. ResNet is a special type of Convolutional Neural Network (CNN) that is used for tasks like Image Recognition. ResNet was first introduced in 2015 by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun in their paper – “Deep Residual Learning for Image Recognition”.
There are some (50/101/152) in tensorflow:models/slim.
The example notebook shows how to get a pre-trained inception running, res-net is probably no different.
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