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Import Deep Neural Networks

Load built-in pretrained networks and import networks from external platforms

Use transfer learning to take advantage of the knowledge provided by a pretrained network to learn new patterns in new data. Fine-tuning a pretrained network with transfer learning is typically much faster and easier than training from scratch. Using pretrained deep networks enables you to quickly create models for new tasks without defining and training a new network, having millions of observations, or having a powerful GPU. Deep Learning Toolbox™ provides several pretrained networks suitable for transfer learning. You can also import networks from external platforms such as TensorFlow™ 2, TensorFlow-Keras, PyTorch^®, the ONNX™ (Open Neural Network Exchange) model format, and Caffe.

Transfer Learning Workflow

Flow chart showing how to reuse a pretrained network. Load a pretrained network, replace final layers, train the network, predict and assess network accuracy, deploy results.

Pretrained Deep Neural Networks

Featured Examples

Transfer Learning with Deep Network Designer

Interactively fine-tune a pretrained deep learning network to learn a new image classification task.

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Classify Webcam Images Using Deep Learning

Classify images from a webcam in real time using the pretrained deep convolutional neural network GoogLeNet.

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Classify Images in Simulink Using GoogLeNet

Classify an image in Simulink® using the Image Classifier block. The example uses the pretrained deep convolutional neural network GoogLeNet to perform the classification.

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Inference Comparison Between TensorFlow and Imported Networks for Image Classification

Perform prediction in TensorFlow with a pretrained network, import the network into MATLAB^® using importTensorFlowNetwork, and then compare inference results between TensorFlow and MATLAB networks.

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Classify Images in Simulink with Imported TensorFlow Network

Import a pretrained TensorFlow network using importTensorFlowNetwork, and then use the Predict block for image classification in Simulink^®.

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Import Deep Neural Networks

Categories

Featured Examples

Transfer Learning with Deep Network Designer

Classify Webcam Images Using Deep Learning

Classify Images in Simulink Using GoogLeNet

Inference Comparison Between TensorFlow and Imported Networks for Image Classification

Classify Images in Simulink with Imported TensorFlow Network