Source code for epynn.dropout.parameters

# EpyNN/epynn/dropout/paremeters.py
# Related third party imports
import numpy as np


[docs]def dropout_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, .. ) layer.d['m'] = layer.fs['X'][0] # Number of samples (m) layer.d['n'] = X.size // layer.d['m'] # Number of features (n) # Shape for dropout mask layer.fs['D'] = [1 if ax in layer.d['a'] else layer.fs['X'][ax] for ax in range(X.ndim)] return None
[docs]def dropout_initialize_parameters(layer): """Initialize trainable parameters from shapes for layer. """ # No parameters to initialize for Dropout layer return None
[docs]def dropout_compute_gradients(layer): """Compute gradients with respect to weight and bias for layer. """ # No gradients to update for Dropout layer return None
[docs]def dropout_update_parameters(layer): """Update parameters from gradients for layer. """ # No parameters to update for Dropout layer return None