Table 1.

Brief comparison of conventional classification algorithms and deep learning algorithms.

	Conventional Classification Algorithms	Deep Learning Algorithms
Input features	Hand-crafted	Automatically based on representation learning
Feature selection process	Required	Not required
Model architecture	Based on statistical concepts	Consists of a diverse set of architecture based on sample data
Computational cost	Computational cost is based on the conventional classification models but is lower than that of deep learning algorithms	Computational cost is very high, because hyper parameters must be tuned