Add description for GoogLeNet
@@ -47,6 +47,15 @@ class GoogLeNet(link.Chain):
model that can be specified in the constructor,
please use ``convert_caffemodel_to_npz`` classmethod instead.
+ GoogLeNet, which is also called Inception-v1, is an architecture of
+ convolutional neural network proposed in 2014. This model is relatively
+ lightweight and requires small memory footprint during training compared
+ with modern architectures such as ResNet. Therefore, if you fine-tune your
+ network based on a model pre-trained by Imagenet and need to train it with
+ large batch size, GoogLeNet may be useful. On the other hand, if you just
+ want an off-the-shelf classifier, we recommend you to use ResNet50 or other
+ models since they are more accurate than GoogLeNet.
+
.. [1] `<https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet>`_
Args:
