Deep Network Designer App

Interactively create and edit deep learning networks

Visualize and build deep learning networks interactively. Use the start page to load pretrained image classification networks suitable for transfer learning. Analyze your network to check that you have defined the architecture correctly and detect problems before training. Generate code to recreate network architecture and export networks to Simulink^®.

Apps

Deep Network Designer

Design and visualize deep learning networks

Topics

Build Networks with Deep Network Designer
Interactively build and edit deep learning networks in Deep Network Designer.
Generate MATLAB Code from Deep Network Designer
Generate MATLAB^® code to recreate designing a network in Deep Network Designer.
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.

Featured Examples

Get Started with Deep Network Designer

Create a simple recurrent neural network for deep learning sequence classification using Deep Network Designer.

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Prepare Network for Transfer Learning Using Deep Network Designer

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

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Build Time Series Forecasting Network Using Deep Network Designer

Create a simple long short-term memory (LSTM) network to forecast time series data using the Deep Network Designer app.

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Get Started with Image Classification

Create a simple convolutional neural network for deep learning classification using the Deep Network Designer app. Convolutional neural networks are essential tools for deep learning and are especially suited for image recognition.

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Build Image-to-Image Regression Network Using Deep Network Designer

Use Deep Network Designer to construct an image-to-image regression network for super resolution.

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Import PyTorch® Model Using Deep Network Designer

Import a PyTorch® model interactively by using the Deep Network Designer app.

Since R2023b
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Adapt Pretrained Audio Network for New Data Using Deep Network Designer

Interactively adapt a pretrained network to classify new audio signals using Deep Network Designer.

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