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View Code? Open in Web Editor NEW๐ค bare-bones implementation of a neural network with numpy
๐ค bare-bones implementation of a neural network with numpy
def compute_dropout(self, activations, dropout_prob = 0.5):
"""Sets half of the activations to zero
Params: activations - numpy array
Return: activations, which half set to zero
"""
# handle error
if dropout_prob < 0 or dropout_prob > 1:
dropout_prob = 0.5
# scale the activations (see http://cs231n.github.io/neural-networks-2/)
activations/=dropout_prob
mult = np.random.binomial(1, 0.5, size = activations.shape)
activations*=mult
return activations
It seems mult = np.random.binomial(1, 0.5, size = activations.shape)
should be changed to mult = np.random.binomial(1, dropout_prob, size = activations.shape)
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