Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning

Table 1

Top 10 topologies in the hall-of-fame for the GA in the MNIST dataset. c (convolutional), d (dense), (kernels in the -th conv. layer), (kernel size in the -th conv. layer), (pooling size after the -th conv. layer–1 means no pooling), (activation in the -th conv. layer), (type of the -th dense layer), (number of neurons in the -th dense layer), (dropout in the -th dense layer), (activation in the -th dense layer), (regularization in the -th dense layer), (batch size), (optimizer), (learning rate).

#	Architecture
1
	C
		D
		2
	C
D
			3
C
	D
4
	C
		D
		5
	C
D
6
	c
		d
	7
c
		d
8
		c
	d
			9
	c
		d
10
	c
		d