Deep Learning Network Analyzer for Neural Network Toolbox
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)
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS (Apple Silicon) macOS (Intel) LinuxTags
Quellenangaben
Inspiriert: 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
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