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 :
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?
Kevin Chng (2019). Transfer Learning (https://www.mathworks.com/matlabcentral/fileexchange/70293-transfer-learning), MATLAB Central File Exchange. Retrieved .
Other than use sub-folder's name as label source, now you may import your MATLAB workspace variable (vector) as label source for your image. For future development, this app is looking to expand its capability to deep learning for regression.
Allow user to import customized model designed from MATLAB Deep Network Designer
* Add video to demonstrate how to import ONNX model for this application.
New Feature : Allow to import ONNX Classification Model for transfer learning, however, the imported ONNX model is not supported to generate GPU CUDA Code in this app.
Add more pre-trained neural network : xception,shufflent,nasnetmobile,nasnetlarge
Small Update (delete old result when start new session)
New Feature : Allow to change the learning rate of new last learnable layer
Add new features:
Add the link of documentation
*Add documentation to explain the apps