Source code for epynn.pooling.parameters

# EpyNN/epynn/pooling/parameters.py
# Standard library imports
import math


[docs]def pooling_compute_shapes(layer, A): """Compute forward shapes and dimensions from input for layer. """ X = A # Input of current layer layer.fs['X'] = X.shape # (m, h, w, d) layer.d['m'] = layer.fs['X'][0] # Number of samples (m) layer.d['h'] = layer.fs['X'][1] # Height of features map (h) layer.d['w'] = layer.fs['X'][2] # Width of features map (w) layer.d['d'] = layer.fs['X'][3] # Depth of features map (d) # Output height (oh) and width (ow) layer.d['oh'] = math.floor((layer.d['h']-layer.d['ph']) / layer.d['sh']) + 1 layer.d['ow'] = math.floor((layer.d['w']-layer.d['pw']) / layer.d['sw']) + 1 return None
[docs]def pooling_initialize_parameters(layer): """Initialize parameters from shapes for layer. """ # No parameters to initialize for Pooling layer return None
[docs]def pooling_compute_gradients(layer): """Compute gradients with respect to weight and bias for layer. """ # No gradients to compute for Pooling layer return None
[docs]def pooling_update_parameters(layer): """Update parameters from gradients for layer. """ # No parameters to update for Pooling layer return None