Using Deep Learning with Bayesian–Gaussian Inspired Convolutional Neural Architectural Search for Cancer Recognition and Classification from Histopathological Image Frames

Table 1

Top ten search accuracies.

Learning rate	No. of dense layers	No. of dense nodes	Accuracy
1.85e − 4	9	142	96.911110
1.e − 6	7	264	72.155556
1.3e − 5	4	325	20.355555
1.715e − 3	7	185	20.355555
6.121e − 3	6	303	20.355555
1.28e − 4	4	499	20.355555
7.570e − 3	2	395	20.355555
4.407e − 3	5	83	19.466667
2.095e − 3	1	201	19.466667
7.0403e − 2	7	81	19.466667