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)
MATLAB リリースの互換性
プラットフォームの互換性
Windows macOS (Apple Silicon) macOS (Intel) Linuxタグ
謝辞
ヒントを与えたファイル: 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