来自外部平台的预训练网络
从 TensorFlow™ 2、TensorFlow-Keras、PyTorch®、ONNX™（开放式神经网络交换）模型格式和 Caffe 导入神经网络。您可以使用深度网络设计器以交互方式导入网络，也可以使用命令行函数导入。该 App 会生成一个导入报告，其中包含有关导入的信息，并且会说明是否有任何需要采取的操作。有关详细信息，请参阅预训练的深度神经网络和Interoperability Between Deep Learning Toolbox, TensorFlow, PyTorch, and ONNX。
您必须有支持包才能在 Deep Learning Toolbox™ 中运行导入函数。如果未安装支持包，则每个函数都会在附加功能资源管理器中提供对应支持包的下载链接。建议将支持包下载到您正在运行的 MATLAB® 版本的默认位置。您也可以从以下链接直接下载支持包。
importNetworkFromONNX函数需要 Deep Learning Toolbox Converter for ONNX Model Format。要下载支持包，请转至 https://www.mathworks.com/matlabcentral/fileexchange/67296-deep-learning-toolbox-converter-for-onnx-model-format。importNetworkFromPyTorch函数需要 Deep Learning Toolbox Converter for PyTorch Models。要下载支持包，请转至 https://www.mathworks.com/matlabcentral/fileexchange/111925-deep-learning-toolbox-converter-for-pytorch-models。importNetworkFromTensorFlow函数需要 Deep Learning Toolbox Converter for TensorFlow Models。要下载支持包，请转至 https://www.mathworks.com/matlabcentral/fileexchange/64649-deep-learning-toolbox-converter-for-tensorflow-models。
App
| 深度网络设计器 | 设计和可视化深度学习网络 |
函数
主题
导入
- Interoperability Between Deep Learning Toolbox, TensorFlow, PyTorch, and ONNX
Learn how to import networks from TensorFlow, PyTorch, and ONNX and use the imported networks for common Deep Learning Toolbox workflows. Learn how to export networks to TensorFlow and ONNX. - Tips on Importing Models from TensorFlow, PyTorch, and ONNX
Tips on importing Deep Learning Toolbox networks from TensorFlow, PyTorch, and ONNX. - Import PyTorch Model Using Deep Network Designer
This example shows how to import a PyTorch® model interactively by using the Deep Network Designer app. (自 R2023b 起) - 预训练的深度神经网络
了解如何下载和使用预训练的卷积神经网络进行分类、迁移学习和特征提取。 - Inference Comparison Between TensorFlow and Imported Networks for Image Classification
Perform prediction in TensorFlow with a pretrained network, import the network into MATLAB usingimportTensorFlowNetwork, and then compare inference results between TensorFlow and MATLAB networks. - Inference Comparison Between ONNX and Imported Networks for Image Classification
Perform prediction in ONNX with a pretrained network, import the network into MATLAB usingimportONNXNetwork, and then compare inference results between ONNX and MATLAB networks. - Classify Images in Simulink with Imported TensorFlow Network
Import a pretrained TensorFlow network usingimportTensorFlowNetwork, and then use the Predict block for image classification in Simulink®. - Deploy Imported TensorFlow Model with MATLAB Compiler
Import third-party pretrained networks and deploy the networks using MATLAB Compiler™. - View Autogenerated Custom Layers Using Deep Network Designer
This example shows how to import a pretrained TensorFlow™ network and view the autogenerated layers in Deep Network Designer. - Verify Robustness of ONNX Network
This example shows how to verify the adversarial robustness of an imported ONNX™ deep neural network. (自 R2024a 起)
Python 协同执行
- Classify Images Using TensorFlow Model Predict Block
Classify images using TensorFlow Model Predict block. - Classify Images Using ONNX Model Predict Block
Classify images using ONNX Model Predict block. - Classify Images Using PyTorch Model Predict Block
Classify images using PyTorch Model Predict block. - Predict Responses Using TensorFlow Model Predict Block
Predict Responses Using TensorFlow Model Predict block. - Predict Responses Using ONNX Model Predict Block
Predict Responses Using ONNX Model Predict block. - Predict Responses Using PyTorch Model Predict Block
Predict Responses Using PyTorch Model Predict block. - Predict Responses Using Custom Python Model in Simulink (Statistics and Machine Learning Toolbox)
This example shows how to use the Custom Python Model Predict (Statistics and Machine Learning Toolbox) block for prediction in Simulink®.
自定义层
- 定义自定义深度学习层
了解如何定义自定义深度学习层。
相关信息
- https://www.mathworks.com/matlabcentral/fileexchange/67296-deep-learning-toolbox-converter-for-onnx-model-format
- https://www.mathworks.com/matlabcentral/fileexchange/64649-deep-learning-toolbox-converter-for-tensorflow-models
- https://www.mathworks.com/matlabcentral/fileexchange/111925-deep-learning-toolbox-converter-for-pytorch-models
- https://www.mathworks.com/matlabcentral/fileexchange/61735-deep-learning-toolbox-importer-for-caffe-models
