CS256
Chris Pollett
Oct 16, 2017
for i in range(1, len(training_data)): j = random.randint(i+1, len(training_data)) swap(i, j, training_data)
for k in range(0, len(training_data), mini_batch_size)]: current_batch = training_data[k:k+mini_batch_size] # ... now use the mini-batch for training