VGG (Deep Java Library 0.22.0 - model-zoo API)

java.lang.Object
- ai.djl.basicmodelzoo.cv.classification.VGG

```
public final class VGG
extends java.lang.Object
```
VGG model from the "Very Deep Convolutional Networks for Large-Scale Image Recognition" https://arxiv.org/abs/1409.1556 paper.

See Also:

The D2L chapter on VGG

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class VGG.Builder
The Builder to construct a VGG object.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static VGG.Builder`	`builder()`	Creates a builder to build a `VGG`.
`static ai.djl.nn.Block`	`vgg(VGG.Builder builder)`	Creates a VGG block with the help of the VGG Builder.
`ai.djl.nn.SequentialBlock`	`vggBlock(int numConvs, int numChannels)`	Creates a constituent VGG block that becomes a part of the whole VGG model.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - vgg
```
public static ai.djl.nn.Block vgg(VGG.Builder builder)
```
    Creates a VGG block with the help of the VGG Builder.
    
    Parameters:
    
    builder - the VGG.Builder with the necessary arguments
    
    Returns:
    
    a VGG block.
  - vggBlock
```
public ai.djl.nn.SequentialBlock vggBlock(int numConvs,
                                          int numChannels)
```
    Creates a constituent VGG block that becomes a part of the whole VGG model.
    
    Parameters:
    
    numConvs - Numbers of layers in each feature block.
    
    numChannels - Numbers of filters in each feature block. List length should match the layers.
    
    Returns:
    
    a constituent vgg block.
  - builder
```
public static VGG.Builder builder()
```
    Creates a builder to build a VGG.
    
    Returns:
    
    a new builder