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Runs
108
Name
108 visualized
fragrant-totem-112
fragrant-totem-112
earthy-sweep-64
earthy-sweep-64
CNN_double_filters_128_l1_4_l2_4_l3_3_l4_4_l5_3_D1_512_DP_True_dense_0.8_DA_False_BN_True_BS_32
CNN_double_filters_128_l1_4_l2_4_l3_3_l4_4_l5_3_D1_512_DP_True_dense_0.8_DA_False_BN_True_BS_32
CNN_same_filters_64_l1_4_l2_4_l3_4_l4_3_l5_3_D1_512_DP_False_convolution_layer_0.5_DA_True_BN_False_BS_64
CNN_same_filters_64_l1_4_l2_4_l3_4_l4_3_l5_3_D1_512_DP_False_convolution_layer_0.5_DA_True_BN_False_BS_64
CNN_same_filters_128_l1_3_l2_4_l3_3_l4_4_l5_4_D1_512_DP_True_convolution_layer_0.3_DA_True_BN_False_BS_64
CNN_same_filters_128_l1_3_l2_4_l3_3_l4_4_l5_4_D1_512_DP_True_convolution_layer_0.3_DA_True_BN_False_BS_64
CNN_same_filters_512_l1_3_l2_4_l3_4_l4_4_l5_4_D1_4096_DP_False_convolution_layer_0.8_DA_False_BN_True_BS_64
CNN_same_filters_512_l1_3_l2_4_l3_4_l4_4_l5_4_D1_4096_DP_False_convolution_layer_0.8_DA_False_BN_True_BS_64
CNN_double_filters_32_l1_4_l2_4_l3_3_l4_3_l5_3_D1_4096_DP_False_dense_0.5_DA_False_BN_True_BS_32
CNN_double_filters_32_l1_4_l2_4_l3_3_l4_3_l5_3_D1_4096_DP_False_dense_0.5_DA_False_BN_True_BS_32
CNN_same_filters_256_l1_4_l2_3_l3_3_l4_4_l5_3_D1_1024_DP_False_all_0.3_DA_False_BN_True_BS_32
CNN_same_filters_256_l1_4_l2_3_l3_3_l4_4_l5_3_D1_1024_DP_False_all_0.3_DA_False_BN_True_BS_32
CNN_double_filters_512_l1_3_l2_3_l3_3_l4_3_l5_4_D1_1024_DP_False_convolution_layer_0.4_DA_False_BN_True_BS_64
CNN_double_filters_512_l1_3_l2_3_l3_3_l4_3_l5_4_D1_1024_DP_False_convolution_layer_0.4_DA_False_BN_True_BS_64
CNN_double_filters_128_l1_3_l2_3_l3_3_l4_4_l5_3_D1_4096_DP_True_convolution_layer_0.5_DA_False_BN_True_BS_64
CNN_double_filters_128_l1_3_l2_3_l3_3_l4_4_l5_3_D1_4096_DP_True_convolution_layer_0.5_DA_False_BN_True_BS_64
CNN_same_filters_128_l1_4_l2_4_l3_4_l4_4_l5_4_D1_1024_DP_True_convolution_layer_0.6_DA_False_BN_True_BS_32
CNN_same_filters_128_l1_4_l2_4_l3_4_l4_4_l5_4_D1_1024_DP_True_convolution_layer_0.6_DA_False_BN_True_BS_32
CNN_same_filters_64_l1_3_l2_4_l3_4_l4_3_l5_4_D1_4096_DP_True_dense_0.8_DA_True_BN_True_BS_128
CNN_same_filters_64_l1_3_l2_4_l3_4_l4_3_l5_4_D1_4096_DP_True_dense_0.8_DA_True_BN_True_BS_128
CNN_same_filters_64_l1_3_l2_3_l3_3_l4_4_l5_4_D1_2048_DP_False_convolution_layer_0.4_DA_False_BN_False_BS_64
CNN_same_filters_64_l1_3_l2_3_l3_3_l4_4_l5_4_D1_2048_DP_False_convolution_layer_0.4_DA_False_BN_False_BS_64
CNN_same_filters_128_l1_4_l2_4_l3_4_l4_4_l5_3_D1_2048_DP_False_convolution_layer_0.8_DA_True_BN_True_BS_32
CNN_same_filters_128_l1_4_l2_4_l3_4_l4_4_l5_3_D1_2048_DP_False_convolution_layer_0.8_DA_True_BN_True_BS_32
CNN_double_filters_256_l1_4_l2_4_l3_3_l4_4_l5_4_D1_4096_DP_False_all_0.8_DA_False_BN_True_BS_64
CNN_double_filters_256_l1_4_l2_4_l3_3_l4_4_l5_4_D1_4096_DP_False_all_0.8_DA_False_BN_True_BS_64
CNN_double_filters_32_l1_4_l2_4_l3_4_l4_4_l5_4_D1_4096_DP_True_convolution_layer_0.4_DA_False_BN_False_BS_32
CNN_double_filters_32_l1_4_l2_4_l3_4_l4_4_l5_4_D1_4096_DP_True_convolution_layer_0.4_DA_False_BN_False_BS_32
CNN_same_filters_64_l1_4_l2_4_l3_4_l4_3_l5_4_D1_512_DP_False_convolution_layer_0.4_DA_False_BN_False_BS_32
CNN_same_filters_64_l1_4_l2_4_l3_4_l4_3_l5_4_D1_512_DP_False_convolution_layer_0.4_DA_False_BN_False_BS_32
CNN_double_filters_64_l1_3_l2_4_l3_4_l4_3_l5_3_D1_4096_DP_False_all_0.7_DA_True_BN_True_BS_128
CNN_double_filters_64_l1_3_l2_4_l3_4_l4_3_l5_3_D1_4096_DP_False_all_0.7_DA_True_BN_True_BS_128
CNN_double_filters_256_l1_4_l2_4_l3_4_l4_4_l5_4_D1_2048_DP_False_all_0.8_DA_True_BN_True_BS_32
CNN_double_filters_256_l1_4_l2_4_l3_4_l4_4_l5_4_D1_2048_DP_False_all_0.8_DA_True_BN_True_BS_32
CNN_double_filters_64_l1_4_l2_4_l3_4_l4_4_l5_3_D1_2048_DP_True_all_0.8_DA_False_BN_False_BS_32
CNN_double_filters_64_l1_4_l2_4_l3_4_l4_4_l5_3_D1_2048_DP_True_all_0.8_DA_False_BN_False_BS_32
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fragrant-totem-112
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accuracy
accuracy
Showing first 10 runs
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CNN_double_filters_32_l1_4_l2_4_l3_4_l4_3_l5_4_D1_512_DP_True_dense_0.7_DA_False_BN_False_BS_128
CNN_same_filters_64_l1_4_l2_3_l3_3_l4_3_l5_4_D1_2048_DP_True_convolution_layer_0.6_DA_True_BN_False_BS_32
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_4_l5_3_D1_512_DP_False_convolution_layer_0.6_DA_False_BN_True_BS_32
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_4_l5_4_D1_4096_DP_False_all_0.5_DA_False_BN_True_BS_64
CNN_double_filters_32_l1_3_l2_4_l3_3_l4_3_l5_4_D1_4096_DP_False_all_0.5_DA_True_BN_False_BS_64
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_3_l5_4_D1_4096_DP_False_all_0.5_DA_True_BN_True_BS_64
CNN_double_filters_64_l1_3_l2_4_l3_4_l4_3_l5_4_D1_512_DP_False_dense_0.5_DA_True_BN_True_BS_64
CNN_double_filters_64_l1_3_l2_3_l3_4_l4_4_l5_4_D1_4096_DP_True_dense_0.5_DA_False_BN_False_BS_64
CNN_double_filters_64_l1_3_l2_3_l3_4_l4_4_l5_3_D1_512_DP_False_dense_0.5_DA_True_BN_False_BS_64
CNN_double_filters_64_l1_4_l2_4_l3_3_l4_3_l5_3_D1_4096_DP_True_all_0.3_DA_True_BN_True_BS_32
val_loss
val_loss
Showing first 10 runs
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CNN_double_filters_32_l1_4_l2_4_l3_4_l4_3_l5_4_D1_512_DP_True_dense_0.7_DA_False_BN_False_BS_128
CNN_same_filters_64_l1_4_l2_3_l3_3_l4_3_l5_4_D1_2048_DP_True_convolution_layer_0.6_DA_True_BN_False_BS_32
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_4_l5_3_D1_512_DP_False_convolution_layer_0.6_DA_False_BN_True_BS_32
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_4_l5_4_D1_4096_DP_False_all_0.5_DA_False_BN_True_BS_64
CNN_double_filters_32_l1_3_l2_4_l3_3_l4_3_l5_4_D1_4096_DP_False_all_0.5_DA_True_BN_False_BS_64
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_3_l5_4_D1_4096_DP_False_all_0.5_DA_True_BN_True_BS_64
CNN_double_filters_64_l1_3_l2_4_l3_4_l4_3_l5_4_D1_512_DP_False_dense_0.5_DA_True_BN_True_BS_64
CNN_double_filters_64_l1_3_l2_3_l3_4_l4_4_l5_4_D1_4096_DP_True_dense_0.5_DA_False_BN_False_BS_64
CNN_double_filters_64_l1_3_l2_3_l3_4_l4_4_l5_3_D1_512_DP_False_dense_0.5_DA_True_BN_False_BS_64
CNN_double_filters_64_l1_4_l2_4_l3_3_l4_3_l5_3_D1_4096_DP_True_all_0.3_DA_True_BN_True_BS_32
val_accuracy
val_accuracy
Showing first 10 runs
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CNN_double_filters_32_l1_4_l2_4_l3_4_l4_3_l5_4_D1_512_DP_True_dense_0.7_DA_False_BN_False_BS_128
CNN_same_filters_64_l1_4_l2_3_l3_3_l4_3_l5_4_D1_2048_DP_True_convolution_layer_0.6_DA_True_BN_False_BS_32
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_4_l5_3_D1_512_DP_False_convolution_layer_0.6_DA_False_BN_True_BS_32
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_4_l5_4_D1_4096_DP_False_all_0.5_DA_False_BN_True_BS_64
CNN_double_filters_32_l1_3_l2_4_l3_3_l4_3_l5_4_D1_4096_DP_False_all_0.5_DA_True_BN_False_BS_64
CNN_double_filters_32_l1_3_l2_3_l3_4_l4_3_l5_4_D1_4096_DP_False_all_0.5_DA_True_BN_True_BS_64
CNN_double_filters_64_l1_3_l2_4_l3_4_l4_3_l5_4_D1_512_DP_False_dense_0.5_DA_True_BN_True_BS_64
CNN_double_filters_64_l1_3_l2_3_l3_4_l4_4_l5_4_D1_4096_DP_True_dense_0.5_DA_False_BN_False_BS_64
CNN_double_filters_64_l1_3_l2_3_l3_4_l4_4_l5_3_D1_512_DP_False_dense_0.5_DA_True_BN_False_BS_64
CNN_double_filters_64_l1_4_l2_4_l3_3_l4_3_l5_3_D1_4096_DP_True_all_0.3_DA_True_BN_True_BS_32
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