Transfer Learning

Transfer Learning of Pre-trained Neural Network or Imported ONNX Classification Model in GUI

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Cite As

Kevin Chng (2026). Transfer Learning (https://ch.mathworks.com/matlabcentral/fileexchange/70293-transfer-learning), MATLAB Central File Exchange. Retrieved .

Categories

Find more on Deep Learning Toolbox in Help Center and MATLAB Answers

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
2019.6.2

Debug

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2019.6.1

Debug MATLAB Code Generation

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2019.5.1

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.

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5.3.0

Update description

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5.2.0

Fix bug

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5.1.0

Change Description

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5.0.0

Allow user to import customized model designed from MATLAB Deep Network Designer

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4.4.0

Change description

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4.3.0

* Add video to demonstrate how to import ONNX model for this application.

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4.2.0

Missing Picture

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4.1.0

*change description

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4.0.0

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.

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3.4.0

Add more pre-trained neural network : xception,shufflent,nasnetmobile,nasnetlarge

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3.3.0

Small Update (delete old result when start new session)

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3.2.0

New Feature : Allow to change the learning rate of new last learnable layer

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3.1.0

fix bug

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3.0.0

Add new features:
1) Additional pre-trained neural networks : googlenet (Places 365), densenet201,mobilenetv2
2) More information about pre-trained neural network in display : Size, Number of Parameters (Millions)
3) Generate NVIDIA GPU CUDA Code

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2.0.0

Change GUI

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1.6.0

Change Title

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1.5.0

Add the link of documentation

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1.4.0

Update

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1.3.0

*Add documentation to explain the apps

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1.2.0

Change Description

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1.1.0

*Change Description

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1.0.0

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