This module contains third party code that I used from outside in support of this.
This file contains third party support code that I have used from elsewhere. I have cited them appropriately where ever needed
put_kernels_on_grid(kernel, pad=1, name='visualizer')¶
Visualize convolutional filters as an image (mostly for the 1st layer). Arranges filters into a grid, with some paddings between adjacent filters.
- kernel – tensor of shape [Y, X, NumChannels, NumKernels] (HWCN)
- pad – number of black pixels around each filter (between them)
- name – name for tensorflow scope
Tensor of shape [1, (Y+2*pad)*grid_Y, (X+2*pad)*grid_X, NumChannels].
This is not my method. This was written by kukurza and was hosted at: https://gist.github.com/kukuruza/03731dc494603ceab0c5