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Network Analyzer analyzes the deep learning network architecture specified by layers. The layer information includes the sizes of layer activations and learnable parameters, the total number of learnable parameters, and the sizes of state parameters of recurrent layers. Use the network analyzer to
• Visualize and understand the network architecture,
• Check that you have defined the architecture correctly,
• Detect problems before training.
Problems that analyzeNetwork detects include
• Missing or disconnected layers,
• Mismatching or incorrect sizes of layer inputs,
• Incorrect number of layer inputs,
• Invalid graph structures.
Usage Example:
net = googlenet
analyzeNetwork(net)
Remerciements
A inspiré : Pre-trained 3D ResNet-101, Pre-trained 2D LeNet-5, Pre-trained 3D ResNet-50, Pre-trained 3D ResNet-18, Pre-trained 3D LeNet-5
Compatibilité avec les versions de MATLAB
- Compatible avec R2018a
Plateformes compatibles
- Windows
- macOS (Apple Silicon)
- macOS (Intel)
- Linux