From 54b1b0f68765ba76a590008b4b32c251f1d6d047 Mon Sep 17 00:00:00 2001 From: Somshubra Majumdar Date: Thu, 4 Aug 2016 19:57:41 +0530 Subject: [PATCH] Added second wide residual network Added my implementation of the Wide Residual Network, which achieves similar classification accuracy performance to the scores described in the original paper. Contains a script to construct WRN's of any size, with pre-trained weights for WRN-16-8 (93.68 %) and WRN-28-8 (95.08 %). --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2728600..d3fd47e 100644 --- a/README.md +++ b/README.md @@ -61,7 +61,7 @@ If you have a high-quality tutorial or project to add, please open a PR. - [VGG-CAM](https://github.com/tdeboissiere/VGG16CAM-keras) - [t-SNE of image CNN fc7 activations](https://github.com/ml4a/ml4a-guides/blob/master/notebooks/tsne-images.ipynb) - [VGG16 Deconvolution network](https://github.com/tdeboissiere/Kaggle/tree/master/StateFarm/DeconvNet) -- [Wide Residual Networks (with pre-trained weights)](https://github.com/asmith26/wide_resnets_keras) +- Wide Residual Networks (with pre-trained weights): [1](https://github.com/asmith26/wide_resnets_keras) - [2](https://github.com/titu1994/Wide-Residual-Networks) - [Ultrasound nerve segmentation](https://github.com/jocicmarko/ultrasound-nerve-segmentation) ### Creative visual applications