Open Access

Table D.2

Architecture of the optimized CNNs applied to WEAVE (red and full spectra) and VIPERS data.

Model Type Size Additional Info
WEAVE Input 4020
red part Masking 4020 Mask value: 0
Conv (4020, 32) Kernel Size: 5
Act.: ReLU
MaxPooling (2010, 32) Pool Size: 2
Conv (2010, 160) Kernel Size: 5
Act.: ReLU
MaxPooling (1050, 160) Pool Size: 2
Conv (1005, 64) Kernel Size: 3
Act.: ReLU
MaxPooling (335, 64) Pool Size: 2
Conv (335, 256) Kernel Size: 5
Act.: ELU
Flatten 28416
Dense 384 Act.: ReLU
Dense 1024 Act.: ReLU
Dense 5000 Act.: ReLU
WEAVE Input 5000
full spectra Masking 5000 Mask value: 0
Conv (5000, 256) Kernel Size: 5
Act.: ELU
MaxPooling (2500, 256) Pool Size: 2
Conv (2500, 192) Kernel Size: 3
Act.: ReLU
MaxPooling (833, 192) Pool Size: 2
Conv (833, 64) Kernel Size: 3
Act.: ReLU
MaxPooling (277, 64) Pool Size: 2
Conv (277, 160) Kernel Size: 3
Act.: ELU
MaxPooling (92, 162) Pool Size: 2
Dropout (92, 162) Drop rate: 0.2
Flatten 14720
Dense 512 Act.: ReLU
Dense 1024 Act.: ReLU
Dense 5000 Act.: ReLU
VIPERS Input 2000
Masking 2000 Mask value: 0
Conv (2000, 32) Kernel Size: 5
Act.: ReLU
MaxPooling (1000, 32) Pool Size: 2
Conv (1000, 160) Kernel Size: 5
Act.: ReLU
MaxPooling (500, 160) Pool Size: 2
Conv (500, 64) Kernel Size: 3
Act.: ReLU
MaxPooling (166, 64) Pool Size: 2
Conv (166, 256) Kernel Size: 5
Act.: ELU
MaxPooling (55, 256) Pool Size: 2
Flatten 14080
Dense 384 Act.: ReLU
Dense 1024 Act.: ReLU
Dense 2000 Act.: ReLU

Notes. The activation functions (Act. value in the table) used are the rectified linear unit (ReLU), exponential linear unit (ELU), and linear activation.

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