From bcdde36cff9c475fd8187b2dfd27ff1b4014f60e Mon Sep 17 00:00:00 2001 From: Kai Li <1196594711@qq.com> Date: Sun, 30 Jul 2017 09:44:46 +0800 Subject: [PATCH] Update README.md (#7248) --- example/image-classification/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/example/image-classification/README.md b/example/image-classification/README.md index 25050f652c9f..a008b23472f6 100644 --- a/example/image-classification/README.md +++ b/example/image-classification/README.md @@ -39,7 +39,7 @@ commonly used options are listed as following: | Argument | Comments | | ----------------------------- | ---------------------------------------- | -| `network` | The network to train, which is defined in [symbol/](https://github.com/dmlc/mxnet/tree/master/example/image-classification/symbol). Some networks may accept additional arguments, such as `--num-layers` is used to specify the number of layers in ResNet. | +| `network`                     | The network to train, which is defined in [symbol/](https://github.com/dmlc/mxnet/tree/master/example/image-classification/symbols). Some networks may accept additional arguments, such as `--num-layers` is used to specify the number of layers in ResNet. | | `data-train`, `data-val` | The data for training and validation. It can be either a filename or a directory. For the latter, all files in the directory will be used. But if `--benchmark 1` is used, then there two arguments will be ignored. | | `gpus` | The list of GPUs to use, such as `0` or `0,3,4,7`. If an empty string `''` is given, then we will use CPU. | | `batch-size` | The batch size for SGD training. It specifies the number of examples used for each SGD iteration. If we use *k* GPUs, then each GPU will compute *batch_size/k* examples in each time. |