Package ai.djl.basicmodelzoo.cv.classification

Contains classes for the Application.CV.IMAGE_CLASSIFICATION models in the BasicModelZoo.

Class Summary

Class	Description
AlexNet	AlexNet contains a generic implementation of AlexNet adapted from [torchvision implmentation](https://github.com/pytorch/vision/blob/master/torchvision/models/alexnet.py)
AlexNet.Builder	The Builder to construct a AlexNet object.
GoogLeNet	GoogLeNet uses a stack of a total of 9 inception blocks and global average pooling to generate its estimates.
GoogLeNet.Builder	The Builder to construct a GoogLeNet object.
LeNet	The model was introduced (and named for) Yann Lecun, for the purpose of recognizing handwritten digits in images [LeNet5](http://yann.lecun.com/exdb/lenet/).
LeNet.Builder	The Builder to construct a LeNet object.
NiN	NiN uses convolutional layers with window shapes of 11×11 , 5×5 , and 3×3 , and the corresponding numbers of output channels are the same as in AlexNet.
NiN.Builder	The Builder to construct a NiN object.
ResnetBlockFactory	A BlockFactory class that creates ResNetV1 block.
ResNetV1	ResNetV1 contains a generic implementation of ResNet adapted from https://github.com/tornadomeet/ResNet/blob/master/symbol_resnet.py (Original author Wei Wu) by Antti-Pekka Hynninen.
ResNetV1.Builder	The Builder to construct a ResNetV1 object.
SqueezeNet	SqueezeNet contains a generic implementation of Squeezenet adapted from [torchvision implmentation](https://github.com/pytorch/vision/blob/master/torchvision/models/squeezenet.py)
VGG	VGG model from the "Very Deep Convolutional Networks for Large-Scale Image Recognition" https://arxiv.org/abs/1409.1556 paper.
VGG.Builder	The Builder to construct a VGG object.