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Built-In Pretrained Networks

Load built-in pretrained networks and perform transfer learning

Deep Learning Toolbox™ provides several pretrained networks suitable for transfer learning. Transfer learning is the process of taking a pretrained deep learning network and fine-tuning it to learn a new task. Using transfer learning is usually faster and easier than training a network from scratch. You can quickly transfer learned features to a new task using a smaller amount of data. To explore the available pretrained networks, use Deep Network Designer. For more information, see Reti neurali profonde preaddestrate.

App

Deep Network DesignerProgetta, visualizza e addestra le reti di Deep Learning

Funzioni

imagePretrainedNetworkPretrained neural network for images (Da R2024a)

Argomenti

  • Classify Webcam Images Using Deep Learning

    This example shows how to classify images from a webcam in real time using the pretrained deep convolutional neural network GoogLeNet.

  • Retrain Neural Network to Classify New Images

    This example shows how to retrain a pretrained SqueezeNet neural network to perform classification on a new collection of images.

  • Reti neurali profonde preaddestrate

    Apprendere come scaricare e utilizzare le reti neurali convoluzionali preaddestrate per la classificazione, il transfer learning e l’estrazione di feature.

  • Deep Learning in MATLAB

    Scoprire le capacità del Deep Learning in MATLAB® utilizzando le reti neurali convoluzionali per la classificazione e la regressione, incluse le reti preaddestrate e il transfer learning, nonché l’addestramento su GPU, CPU, cluster e cloud.

  • Deep Learning Tips and Tricks

    Learn how to improve the accuracy of deep learning networks.

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