Package ai.djl.basicmodelzoo.cv.classification
Contains classes for the
Application.CV.IMAGE_CLASSIFICATION
models in the BasicModelZoo
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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 aAlexNet
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 aGoogLeNet
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 aLeNet
object.MobileNetV1 MobileNetV1
contains a generic implementation of Mobilenet adapted from https://github.com/weiaicunzai/pytorch-cifar100/blob/master/models/mobilenet.py (Original author weiaicunzai).MobileNetV1.Builder The Builder to construct aMobileNetV1
object.MobileNetV2 MobileNetV2
contains a generic implementation of MobilenetV2 adapted from https://github.com/weiaicunzai/pytorch-cifar100/blob/master/models/mobilenetv2.py (Original author weiaicunzai).MobileNetV2.Builder The Builder to construct aMobileNetV2
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 aNiN
object.ResnetBlockFactory ABlockFactory
class that createsResNetV1
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 aResNetV1
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 aVGG
object.