Table 5 Validation loss with varying numbers of convolutional layer and augmentation, presented using the common logarithm.

From: Exploring potential of Turing pattern classification through convolution maps

 

L1

L1-Aug

L2

L2-Aug

L3

L3-Aug

min

\(-2.258\)

\(-3.476\)

\(-4.220\)

\(-4.641\)

\(-4.925\)

\(-5.116\)

max

\(-1.483\)

\(-2.920\)

\(-2.354\)

\(-2.946\)

\(-2.945\)

\(-2.916\)