Deep Learning Network Analyzer for Neural Network Toolbox

Visualize and Analyze Deep Learning Networks
Updated 18 Apr 2018

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

MATLAB Release Compatibility
Created with R2018a
Compatible with R2018a
Platform Compatibility
Windows macOS (Apple silicon) macOS (Intel) Linux

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