diff --git a/README_CN.md b/README_CN.md
index 1abf244..cd69fbc 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -8,7 +8,7 @@
 
 ---
 
-Easytorch是一个基于PyTorch的开源神经网络训练框架，封装了PyTorch项目中常用的功能，帮助用户快速构建深度学习项目。
+EasyTorch是一个基于PyTorch的开源神经网络训练框架，封装了PyTorch项目中常用的功能，帮助用户快速构建深度学习项目。
 
 ## 功能亮点
 
@@ -35,9 +35,7 @@ python >= 3.6 （推荐 >= 3.7）
 
 ### PyTorch及CUDA
 
-[pytorch](https://pytorch.org/) >= 1.4（推荐 >= 1.7）
-
-[CUDA](https://developer.nvidia.com/zh-cn/cuda-toolkit) >= 9.2 （推荐 >= 11.0）
+[pytorch](https://pytorch.org/) >= 1.4（推荐 >= 1.7），如需使用CUDA，安装PyTorch时选择对应CUDA版本编译的包。
 
 注意：如需使用安培（Ampere）架构GPU，PyTorch版本需 >= 1.7且CUDA版本 >= 11.0。
 
@@ -51,6 +49,23 @@ pip install -r requirements.txt
 
 * [线性回归](examples/linear_regression)
 * [MNIST手写数字识别](examples/mnist)
+* [ImageNet图像分类](examples/imagenet)
+
+## 开始使用
+
+### 安装EasyTorch
+
+```shell
+pip install easy-torch
+```
+
+### 复制EasyTorch模板至工作目录
+
+```shell
+cp -r easytorch/examples/template/* .
+```
+
+*接下来就可以使用EasyTorch构建你的深度学习项目。*
 
 ## README 徽章
 
diff --git a/docs/config.md b/docs/config.md
new file mode 100644
index 0000000..e69de29
diff --git a/examples/template/configs/__init__.py b/examples/template/configs/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/examples/template/configs/config_template.py b/examples/template/configs/config_template.py
new file mode 100644
index 0000000..9aec2e7
--- /dev/null
+++ b/examples/template/configs/config_template.py
@@ -0,0 +1,39 @@
+import os
+from easydict import EasyDict
+
+from runners.runner_template import RunnerTemplate
+
+CFG = EasyDict()
+
+CFG.DESC = 'config template'
+CFG.RUNNER = RunnerTemplate
+CFG.GPU_NUM = 1
+
+CFG.MODEL = EasyDict()
+CFG.MODEL.NAME = 'model_template'
+
+CFG.TRAIN = EasyDict()
+
+CFG.TRAIN.NUM_EPOCHS = 100
+CFG.TRAIN.CKPT_SAVE_DIR = os.path.join(
+    'checkpoints',
+    '_'.join([CFG.MODEL.NAME, str(CFG.TRAIN.NUM_EPOCHS)])
+)
+CFG.TRAIN.CKPT_SAVE_STRATEGY = None
+
+CFG.TRAIN.OPTIM = EasyDict()
+CFG.TRAIN.OPTIM.TYPE = 'SGD'
+CFG.TRAIN.OPTIM.PARAM = {
+    'lr': 0.002,
+    'momentum': 0.1,
+}
+
+CFG.TRAIN.DATA = EasyDict()
+CFG.TRAIN.DATA.BATCH_SIZE = 4
+CFG.TRAIN.DATA.SHUFFLE = True
+
+CFG.VAL = EasyDict()
+
+CFG.VAL.INTERVAL = 1
+
+CFG.VAL.DATA = EasyDict()
diff --git a/examples/template/models/__init__.py b/examples/template/models/__init__.py
new file mode 100644
index 0000000..8c21dab
--- /dev/null
+++ b/examples/template/models/__init__.py
@@ -0,0 +1,7 @@
+from .model_template import ModelTemplate
+
+
+MODEL_DICT = {
+    'model_template': ModelTemplate
+    # other models...
+}
diff --git a/examples/template/models/model_template.py b/examples/template/models/model_template.py
new file mode 100644
index 0000000..869beae
--- /dev/null
+++ b/examples/template/models/model_template.py
@@ -0,0 +1,13 @@
+from torch import nn
+
+
+class ModelTemplate(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.op = nn.Sequential(
+            nn.Conv2d(1, 20, 5),
+            nn.ReLU(inplace=True)
+        )
+
+    def forward(self, x):
+        return self.op(x)
diff --git a/examples/template/runners/__init__.py b/examples/template/runners/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/examples/template/runners/runner_template.py b/examples/template/runners/runner_template.py
new file mode 100644
index 0000000..05a7a34
--- /dev/null
+++ b/examples/template/runners/runner_template.py
@@ -0,0 +1,64 @@
+from typing import Dict
+
+import torch
+from torch import nn
+from torch.utils.data import Dataset
+
+from easytorch import Runner
+
+from ..models import MODEL_DICT
+
+
+class RunnerTemplate(Runner):
+    def __init__(self, cfg: Dict):
+        super().__init__(cfg)
+
+    def init_training(self, cfg: Dict):
+        super().init_training(cfg)
+
+        # init loss
+        # e.g.
+        # self.loss = nn.MSELoss()
+        # self.loss = self.to_running_device(self.loss)
+
+        # register meters by calling:
+        # self.register_epoch_meter('train_loss', 'train', '{:.2f}')
+
+    def init_validation(self, cfg: Dict):
+        super().init_validation(cfg)
+
+        # self.register_epoch_meter('val_acc', 'val', '{:.2f}%')
+
+    @staticmethod
+    def define_model(cfg: Dict) -> nn.Module:
+        return MODEL_DICT[cfg['MODEL']['NAME']](**cfg['MODEL'].get('PARAM', {}))
+
+    @staticmethod
+    def build_train_dataset(cfg: Dict) -> Dataset:
+        # return your train Dataset
+        pass
+
+    @staticmethod
+    def build_val_dataset(cfg: Dict):
+        # return your val Dataset
+        pass
+
+    def train_iters(self, epoch: int, iter_index: int, data: torch.Tensor or tuple) -> torch.Tensor:
+        # forward and compute loss
+        # update meters if necessary
+        # return loss (will be auto backward and update params) or don't return any thing
+
+        # e.g.
+        # _input, _target = data
+        # _input = self.to_running_device(_input)
+        # _target = self.to_running_device(_target)
+        #
+        # output = self.model(_input)
+        # loss = self.loss(output, _target)
+        # self.update_epoch_meter('train_loss', loss.item())
+        # return loss
+        pass
+
+    def val_iters(self, iter_index: int, data: torch.Tensor or tuple):
+        # forward and update meters
+        pass
diff --git a/requirements.txt b/requirements.txt
index 42747b4..9650486 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,5 @@
 torch>=1.7
+torchvision
 easydict
 tensorboard
 tqdm