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IshwarBhat / dropout.py
Created December 9, 2017 19:50
Neural network implementation with dropout regularization
# WITH dropout
epochs = 400
learning_rate = 0.1
dropout_prob = 0.8
dropout_perf1 = []
for j in range(epochs):
shuffle(total_train)
train = total_train[:1000]
run_costs = []
predictions = []

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