The cost function is redefined with two new parameters, sparse_reg and kl_divergence, when compared to the previous encoders discussed in this chapter:
self.cost = 0.5 * tf.reduce_sum( tf.pow(tf.subtract(self.reconstruction, self.x), 2.0)) + self.sparse_reg * self.kl_divergence(self.sparsity_level, self.hidden_layer)
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