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	Pro’s and con’s of replicating the weights
			Advantages                      Disadvantages
		• There are many less parameters. • There is an efficient approximate learning procedure. • After learning, inference of hidden states is fast and accurate.			• The model is much less powerful than a deep network that has different weights in each layer. • The brain clearly uses deep networks.