Hierarchical Attribute CNNs
Official code for Hierarchical Attribute CNNs (hCNNs). hCNNs are highly structured CNNs that formulate each layer as a multi-dimensional convolution. hCNNs provide a framework that allows to study and understand mathematical and semantic properties of deep convolutional networks.
Implemented in Tensorflow & Keras
Tested with: cudnn v5.1; cuda 8.0; Tensorflow 0.12; Keras 1.2.2
- Understanding Deep Convolutional Networks, Mallat, 2016