This is a TensorFlow* version of
densenet-161 model, one of the DenseNet group of models designed to perform image classification. The weights were converted from DenseNet-Keras Models. For details see repository, paper.
Placeholder , shape: [1x224x224x3], format: [BxHxWxC], where:
Expected color order: RGB. Mean values: [123.68, 116.78, 103.94], scale factor for each channel: 58.8235294
Placeholder, shape: [1x3x224x224], format: [BxCxHxW], where:
Expected color order: BGR.
Floating point values in range [0, 1], which represent probabilities for classes in a dataset. Name:
Floating point values in a range [0, 1], which represent probabilities for classes in a dataset. Name:
densenet161/predictions/Reshape_1/Transpose, shape: [1, 1, 1, 1000].