Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data

Table 1

The proposed architecture of simplified CNN models.

type	patch size/stride	input size
conv	44/1	2002009
conv	22/1	20020010
flattening	-	11400000
linear	-	11100
softmax	classifier	112