pydbm.cnn.layerablecnn.convolutionlayer package

Submodules

pydbm.cnn.layerablecnn.convolutionlayer.deconvolution_layer module

class pydbm.cnn.layerablecnn.convolutionlayer.deconvolution_layer.DeconvolutionLayer

Bases: pydbm.cnn.layerablecnn.convolution_layer.ConvolutionLayer

Deconvolution Layer.

Deconvolution also called transposed convolutions “work by swapping the forward and backward passes of a convolution.” (Dumoulin, V., & Visin, F. 2016, p20.)

References

• Dumoulin, V., & V,kisin, F. (2016). A guide to convolution arithmetic for deep learning. arXiv preprint arXiv:1603.07285.

back_propagate

Back propagation in CNN layers.

Override.

Parameters:delta_arr – 4-rank array like or sparse matrix. Returns:4-rank array like or sparse matrix.

forward_propagate

Forward propagation in CNN layers.

Override.

Parameters:img_arr – 4-rank array like or sparse matrix. Returns:4-rank array like or sparse matrix.

Module contents