From ecf9fd4a61f16aa6a8413bbbca5939d7c6e8b2b7 Mon Sep 17 00:00:00 2001 From: Enoch Tetteh Date: Mon, 13 Sep 2021 22:23:23 -0400 Subject: [PATCH] Removed shuffleNet Models --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6f5c266..a01af0b 100644 --- a/README.md +++ b/README.md @@ -37,7 +37,7 @@ To train the **Balanced Mini-Batching** model, we run the same code above with s ``` python chest.py --arch densenet121 --pretrained --weight_decay=0.0 --split 0 --valid_data mc --seed 0 ``` -If no model architecture is specified, the code trains all the following architectures: `resnet50`, `shufflenet_v2_x0_5`, `shufflenet_v2_x1_0`, and `densenet121`. +If no model architecture is specified, the code trains all the following architectures: `resnet50`, and `densenet121`. ### Inference using the XRV model To perform inference using the DenseNet model with pretrained weights from [torchxrayvision](https://github.com/mlmed/torchxrayvision), run the following line of code: