## Model


Supported classification model architectures.


Usage

``` python
Model(
    _,
    size=224,
)
```


## Attributes

| Name | Description |
|----|----|
| [alexnet](#alexnet) |  |
| [alexnet_att](#alexnet_att) |  |
| [densenet121](#densenet121) |  |
| [densenet161](#densenet161) |  |
| [densenet169](#densenet169) |  |
| [densenet201](#densenet201) |  |
| [efficientnetb3](#efficientnetb3) |  |
| [efficientnetb3s](#efficientnetb3s) |  |
| [efficientnetb4](#efficientnetb4) |  |
| [efficientnetb4s](#efficientnetb4s) |  |
| [googlenet](#googlenet) |  |
| [googlenet_att](#googlenet_att) |  |
| [resenext50_32x4d](#resenext50_32x4d) |  |
| [shufflenet2x1_0](#shufflenet2x1_0) |  |
| [shufflenet2x1_5](#shufflenet2x1_5) |  |
| [shufflenet2x2_0](#shufflenet2x2_0) |  |
| [simplegooglenet](#simplegooglenet) |  |
| [simplegooglenet_att](#simplegooglenet_att) |  |
| [simplegooglenet_ch_att](#simplegooglenet_ch_att) |  |
| [simplegooglenet_ch_sp_att](#simplegooglenet_ch_sp_att) |  |
| [size](#size) | Return the expected square input size in pixels. |
| [squeezenet1_0](#squeezenet1_0) |  |

------------------------------------------------------------------------


#### alexnet


`alexnet=``"alexnet"`


------------------------------------------------------------------------


#### alexnet_att


`alexnet_att=``"alexnet_att"`


------------------------------------------------------------------------


#### densenet121


`densenet121=``"densenet121"`


------------------------------------------------------------------------


#### densenet161


`densenet161=``"densenet161"`


------------------------------------------------------------------------


#### densenet169


`densenet169=``"densenet169"`


------------------------------------------------------------------------


#### densenet201


`densenet201=``"densenet201"`


------------------------------------------------------------------------


#### efficientnetb3


`efficientnetb3=(``"efficientnetb3", 300)`


------------------------------------------------------------------------


#### efficientnetb3s


`efficientnetb3s=(``"efficientnetb3s", 300)`


------------------------------------------------------------------------


#### efficientnetb4


`efficientnetb4=(``"efficientnetb4", 380)`


------------------------------------------------------------------------


#### efficientnetb4s


`efficientnetb4s=(``"efficientnetb4s", 380)`


------------------------------------------------------------------------


#### googlenet


`googlenet=``"googlenet"`


------------------------------------------------------------------------


#### googlenet_att


`googlenet_att=``"googlenet_att"`


------------------------------------------------------------------------


#### resenext50_32x4d


`resenext50_32x4d=``"resenext50_32x4d"`


------------------------------------------------------------------------


#### shufflenet2x1_0


`shufflenet2x1_0=``"shufflenet2x1_0"`


------------------------------------------------------------------------


#### shufflenet2x1_5


`shufflenet2x1_5=``"shufflenet2x1_5"`


------------------------------------------------------------------------


#### shufflenet2x2_0


`shufflenet2x2_0=``"shufflenet2x2_0"`


------------------------------------------------------------------------


#### simplegooglenet


`simplegooglenet=``"simplegooglenet"`


------------------------------------------------------------------------


#### simplegooglenet_att


`simplegooglenet_att=``"simplegooglenet_att"`


------------------------------------------------------------------------


#### simplegooglenet_ch_att


`simplegooglenet_ch_att=``"simplegooglenet_ch_att"`


------------------------------------------------------------------------


#### simplegooglenet_ch_sp_att


`simplegooglenet_ch_sp_att=``"simplegooglenet_ch_sp_att"`


------------------------------------------------------------------------


#### size


Return the expected square input size in pixels.


`size: int`


------------------------------------------------------------------------


#### squeezenet1_0


`squeezenet1_0=``"squeezenet1_0"`


## Methods

| Name | Description |
|----|----|
| [__init__()](#__init__) | Store the expected input image size. |
| [__new__()](#__new__) |  |
| [__str__()](#__str__) | Return the command-line value. |

------------------------------------------------------------------------


#### \_\_init\_\_()


Store the expected input image size.


Usage

``` python
__init__(_, size=224)
```


------------------------------------------------------------------------


#### \_\_new\_\_()


Usage

``` python
__new__(value)
```


------------------------------------------------------------------------


#### \_\_str\_\_()


Return the command-line value.


Usage

``` python
__str__()
```