|
| def | networks._xception (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._vgg16 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._vgg19 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._resnet18 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._resnet34 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._resnet50 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._resnet101 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._resnet152 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._inceptionv3 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._inceptionv4 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._inceptionresnetv2 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._resnext (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seresnet18 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seresnet34 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seresnet50 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seresnet101 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seresnet154 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seresnetsaul (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seinceptionv3 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seinceptionresnetv2 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._seresnext (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._mobilenet (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._densenet121 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._densenet169 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._densenet201 (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks._mymodel (num_classes=13, input_shape=[500, transfer_learning=None) |
| |
| def | networks.create_model (network='resnet50', num_classes=13, input_shape=[500, transfer_learning=None) |
| |
1.8.11
