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Transfer Learning

버전 2019.6.2 (1.17 MB) 작성자: Kevin Chng
Transfer Learning of Pre-trained Neural Network or Imported ONNX Classification Model in GUI

다운로드 수: 11.7K

업데이트 날짜: 2019/11/5

라이선스 보기

It allows user to do transfer learning of pre-trained neural network, imported ONNX classification model or imported MAT file classification model in GUI without coding. Other than using the existing model, user can design their neural network using Deep Network Designer (MATLAB built-in application) and later use this app to train the neural network. User can analyze the pre-trained network or imported network in this app. It also allows user to modify the image augmenter information and training option (hyperparameters). Once completed the training of network, user may export the trained network to workspace, MAT file, ONNX file and generate MATLAB code for the steps being done in the application. User can generate NVIDIA GPU CUDA Code, however it is not supporting imported ONNX model.

Pre-trained Neural Network available :
1) alexnet
2) googlenet(ImageNet)
3) goolgenet(Places365)
4) resnet18
5) resnet50
6) resnet101
7) vgg16
8) vgg19
9) inceptionv3
10) inceptionresnetv2
11) squeezenet
12) densenet201
13) mobilenetv2
14) shufflenet
16) xception
17) nasnetmobile
18) nasnetlarge
19) import ONNX model
20) import mat file model

[Up to R2019a, imported ONNX layer is not supporting generation of CUDA code]

How to design & train neural network using this app?

How to import ONNX Model to train using this app?

인용 양식

Kevin Chng (2022). Transfer Learning (, MATLAB Central File Exchange. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2019b
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