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README.md

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+# vgg11_bn
+Implementation of VGG proposed in [Very Deep Convolutional Networks For
+Large-Scale Image Recognition](https://arxiv.org/pdf/1409.1556.pdf)
+
+ ``` python
+ VGG.vgg11()
+ VGG.vgg13()
+ VGG.vgg16()
+ VGG.vgg19()
+ VGG.vgg11_bn()
+ VGG.vgg13_bn()
+ VGG.vgg16_bn()
+ VGG.vgg19_bn()
+ ```
+
+ Please be aware that the [bn]{.title-ref} models uses BatchNorm but
+ they are very old and people back then don\'t know the bias is
+ superfluous in a conv followed by a batchnorm.
+
+ Examples:
+
+  ``` python
+  # change activation
+  VGG.vgg11(activation = nn.SELU)
+  # change number of classes (default is 1000 )
+  VGG.vgg11(n_classes=100)
+  # pass a different block
+  from nn.models.classification.senet import SENetBasicBlock
+  VGG.vgg11(block=SENetBasicBlock)
+  # store the features tensor after every block
+  ```
+
+