One can find caffe <a href="https://github.com/BVLC/caffe/wiki/Model-Zoo">pre-trained models</a> on
caffe's official github repository.
One can find caffe <a href="https://github.com/BVLC/caffe/wiki/Model-Zoo">pre-trained models</a> on
caffe's official github repository.
extract the parameter values from a trained model.
@note complex networks might require altering the script to properly work.
extract the parameter values from a trained model.
@note complex networks might require altering the script to properly work.
If the script runs successfully, it prints the names and shapes of each layer onto the standard
output and generates *.npy files containing the weights and biases of each layer.
If the script runs successfully, it prints the names and shapes of each layer onto the standard
output and generates *.npy files containing the weights and biases of each layer.
the weights and biases into tensor from the .npy file by the help of Accessor.
@section tensorflow_data_extractor Extract data from pre-trained tensorflow model
the weights and biases into tensor from the .npy file by the help of Accessor.
@section tensorflow_data_extractor Extract data from pre-trained tensorflow model
If the script runs successfully, it prints the names and shapes of each parameter onto the standard output and generates
*.npy files containing the weights and biases of each layer.
If the script runs successfully, it prints the names and shapes of each parameter onto the standard output and generates
*.npy files containing the weights and biases of each layer.