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EEGSym_8electrode_summary.txt
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Model: "model_2"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_3 (InputLayer) [(None, 384, 8, 1)] 0
__________________________________________________________________________________________________
tf.expand_dims_2 (TFOpLambda) (None, 1, 384, 8, 1) 0 input_3[0][0]
__________________________________________________________________________________________________
tf.compat.v1.gather_3 (TFOpLamb (None, 1, 384, 3, 1) 0 tf.expand_dims_2[0][0]
__________________________________________________________________________________________________
tf.compat.v1.gather_5 (TFOpLamb (None, 1, 384, 2, 1) 0 tf.expand_dims_2[0][0]
__________________________________________________________________________________________________
tf.compat.v1.gather_4 (TFOpLamb (None, 1, 384, 3, 1) 0 tf.expand_dims_2[0][0]
__________________________________________________________________________________________________
concatenate_7 (Concatenate) (None, 1, 384, 5, 1) 0 tf.compat.v1.gather_3[0][0]
tf.compat.v1.gather_5[0][0]
__________________________________________________________________________________________________
concatenate_8 (Concatenate) (None, 1, 384, 5, 1) 0 tf.compat.v1.gather_4[0][0]
tf.compat.v1.gather_5[0][0]
__________________________________________________________________________________________________
concatenate_9 (Concatenate) (None, 2, 384, 5, 1) 0 concatenate_7[0][0]
concatenate_8[0][0]
__________________________________________________________________________________________________
conv3d_60 (Conv3D) (None, 2, 384, 5, 24 408 concatenate_9[0][0]
__________________________________________________________________________________________________
conv3d_61 (Conv3D) (None, 2, 384, 5, 24 792 concatenate_9[0][0]
__________________________________________________________________________________________________
conv3d_62 (Conv3D) (None, 2, 384, 5, 24 1560 concatenate_9[0][0]
__________________________________________________________________________________________________
batch_normalization_60 (BatchNo (None, 2, 384, 5, 24 96 conv3d_60[0][0]
__________________________________________________________________________________________________
batch_normalization_61 (BatchNo (None, 2, 384, 5, 24 96 conv3d_61[0][0]
__________________________________________________________________________________________________
batch_normalization_62 (BatchNo (None, 2, 384, 5, 24 96 conv3d_62[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 2, 384, 5, 24 0 batch_normalization_60[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 2, 384, 5, 24 0 batch_normalization_61[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 2, 384, 5, 24 0 batch_normalization_62[0][0]
__________________________________________________________________________________________________
dropout_39 (Dropout) (None, 2, 384, 5, 24 0 activation_39[0][0]
__________________________________________________________________________________________________
dropout_40 (Dropout) (None, 2, 384, 5, 24 0 activation_40[0][0]
__________________________________________________________________________________________________
dropout_41 (Dropout) (None, 2, 384, 5, 24 0 activation_41[0][0]
__________________________________________________________________________________________________
concatenate_10 (Concatenate) (None, 2, 384, 5, 72 0 dropout_39[0][0]
dropout_40[0][0]
dropout_41[0][0]
__________________________________________________________________________________________________
add_18 (Add) (None, 2, 384, 5, 72 0 concatenate_10[0][0]
concatenate_9[0][0]
__________________________________________________________________________________________________
average_pooling3d_12 (AveragePo (None, 2, 192, 5, 72 0 add_18[0][0]
__________________________________________________________________________________________________
conv3d_63 (Conv3D) (None, 2, 192, 1, 72 360 average_pooling3d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_63 (BatchNo (None, 2, 192, 1, 72 288 conv3d_63[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 2, 192, 1, 72 0 batch_normalization_63[0][0]
__________________________________________________________________________________________________
dropout_42 (Dropout) (None, 2, 192, 1, 72 0 activation_42[0][0]
__________________________________________________________________________________________________
add_19 (Add) (None, 2, 192, 5, 72 0 average_pooling3d_12[0][0]
dropout_42[0][0]
__________________________________________________________________________________________________
conv3d_66 (Conv3D) (None, 2, 192, 5, 24 6936 add_19[0][0]
__________________________________________________________________________________________________
conv3d_67 (Conv3D) (None, 2, 192, 5, 24 13848 add_19[0][0]
__________________________________________________________________________________________________
conv3d_68 (Conv3D) (None, 2, 192, 5, 24 27672 add_19[0][0]
__________________________________________________________________________________________________
batch_normalization_66 (BatchNo (None, 2, 192, 5, 24 96 conv3d_66[0][0]
__________________________________________________________________________________________________
batch_normalization_67 (BatchNo (None, 2, 192, 5, 24 96 conv3d_67[0][0]
__________________________________________________________________________________________________
batch_normalization_68 (BatchNo (None, 2, 192, 5, 24 96 conv3d_68[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 2, 192, 5, 24 0 batch_normalization_66[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 2, 192, 5, 24 0 batch_normalization_67[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 2, 192, 5, 24 0 batch_normalization_68[0][0]
__________________________________________________________________________________________________
dropout_43 (Dropout) (None, 2, 192, 5, 24 0 activation_43[0][0]
__________________________________________________________________________________________________
dropout_44 (Dropout) (None, 2, 192, 5, 24 0 activation_44[0][0]
__________________________________________________________________________________________________
dropout_45 (Dropout) (None, 2, 192, 5, 24 0 activation_45[0][0]
__________________________________________________________________________________________________
concatenate_11 (Concatenate) (None, 2, 192, 5, 72 0 dropout_43[0][0]
dropout_44[0][0]
dropout_45[0][0]
__________________________________________________________________________________________________
add_20 (Add) (None, 2, 192, 5, 72 0 concatenate_11[0][0]
add_19[0][0]
__________________________________________________________________________________________________
average_pooling3d_13 (AveragePo (None, 2, 96, 5, 72) 0 add_20[0][0]
__________________________________________________________________________________________________
conv3d_69 (Conv3D) (None, 2, 96, 1, 72) 360 average_pooling3d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_69 (BatchNo (None, 2, 96, 1, 72) 288 conv3d_69[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 2, 96, 1, 72) 0 batch_normalization_69[0][0]
__________________________________________________________________________________________________
dropout_46 (Dropout) (None, 2, 96, 1, 72) 0 activation_46[0][0]
__________________________________________________________________________________________________
add_21 (Add) (None, 2, 96, 5, 72) 0 average_pooling3d_13[0][0]
dropout_46[0][0]
__________________________________________________________________________________________________
conv3d_72 (Conv3D) (None, 2, 96, 5, 36) 41508 add_21[0][0]
__________________________________________________________________________________________________
conv3d_75 (Conv3D) (None, 2, 96, 5, 36) 2592 add_21[0][0]
__________________________________________________________________________________________________
batch_normalization_72 (BatchNo (None, 2, 96, 5, 36) 144 conv3d_72[0][0]
__________________________________________________________________________________________________
batch_normalization_75 (BatchNo (None, 2, 96, 5, 36) 144 conv3d_75[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 2, 96, 5, 36) 0 batch_normalization_72[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 2, 96, 5, 36) 0 batch_normalization_75[0][0]
__________________________________________________________________________________________________
dropout_47 (Dropout) (None, 2, 96, 5, 36) 0 activation_47[0][0]
__________________________________________________________________________________________________
dropout_48 (Dropout) (None, 2, 96, 5, 36) 0 activation_48[0][0]
__________________________________________________________________________________________________
add_22 (Add) (None, 2, 96, 5, 36) 0 dropout_47[0][0]
dropout_48[0][0]
__________________________________________________________________________________________________
average_pooling3d_14 (AveragePo (None, 2, 48, 5, 36) 0 add_22[0][0]
__________________________________________________________________________________________________
conv3d_74 (Conv3D) (None, 2, 48, 1, 36) 6480 average_pooling3d_14[0][0]
__________________________________________________________________________________________________
batch_normalization_74 (BatchNo (None, 2, 48, 1, 36) 144 conv3d_74[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 2, 48, 1, 36) 0 batch_normalization_74[0][0]
__________________________________________________________________________________________________
dropout_49 (Dropout) (None, 2, 48, 1, 36) 0 activation_49[0][0]
__________________________________________________________________________________________________
add_23 (Add) (None, 2, 48, 5, 36) 0 average_pooling3d_14[0][0]
dropout_49[0][0]
__________________________________________________________________________________________________
conv3d_76 (Conv3D) (None, 2, 48, 5, 36) 10404 add_23[0][0]
__________________________________________________________________________________________________
conv3d_79 (Conv3D) (None, 2, 48, 5, 36) 1296 add_23[0][0]
__________________________________________________________________________________________________
batch_normalization_76 (BatchNo (None, 2, 48, 5, 36) 144 conv3d_76[0][0]
__________________________________________________________________________________________________
batch_normalization_79 (BatchNo (None, 2, 48, 5, 36) 144 conv3d_79[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 2, 48, 5, 36) 0 batch_normalization_76[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 2, 48, 5, 36) 0 batch_normalization_79[0][0]
__________________________________________________________________________________________________
dropout_50 (Dropout) (None, 2, 48, 5, 36) 0 activation_50[0][0]
__________________________________________________________________________________________________
dropout_51 (Dropout) (None, 2, 48, 5, 36) 0 activation_51[0][0]
__________________________________________________________________________________________________
add_24 (Add) (None, 2, 48, 5, 36) 0 dropout_50[0][0]
dropout_51[0][0]
__________________________________________________________________________________________________
average_pooling3d_15 (AveragePo (None, 2, 24, 5, 36) 0 add_24[0][0]
__________________________________________________________________________________________________
conv3d_78 (Conv3D) (None, 2, 24, 1, 36) 6480 average_pooling3d_15[0][0]
__________________________________________________________________________________________________
batch_normalization_78 (BatchNo (None, 2, 24, 1, 36) 144 conv3d_78[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 2, 24, 1, 36) 0 batch_normalization_78[0][0]
__________________________________________________________________________________________________
dropout_52 (Dropout) (None, 2, 24, 1, 36) 0 activation_52[0][0]
__________________________________________________________________________________________________
add_25 (Add) (None, 2, 24, 5, 36) 0 average_pooling3d_15[0][0]
dropout_52[0][0]
__________________________________________________________________________________________________
conv3d_80 (Conv3D) (None, 2, 24, 5, 18) 2610 add_25[0][0]
__________________________________________________________________________________________________
conv3d_83 (Conv3D) (None, 2, 24, 5, 18) 648 add_25[0][0]
__________________________________________________________________________________________________
batch_normalization_80 (BatchNo (None, 2, 24, 5, 18) 72 conv3d_80[0][0]
__________________________________________________________________________________________________
batch_normalization_83 (BatchNo (None, 2, 24, 5, 18) 72 conv3d_83[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 2, 24, 5, 18) 0 batch_normalization_80[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 2, 24, 5, 18) 0 batch_normalization_83[0][0]
__________________________________________________________________________________________________
dropout_53 (Dropout) (None, 2, 24, 5, 18) 0 activation_53[0][0]
__________________________________________________________________________________________________
dropout_54 (Dropout) (None, 2, 24, 5, 18) 0 activation_54[0][0]
__________________________________________________________________________________________________
add_26 (Add) (None, 2, 24, 5, 18) 0 dropout_53[0][0]
dropout_54[0][0]
__________________________________________________________________________________________________
average_pooling3d_16 (AveragePo (None, 2, 12, 5, 18) 0 add_26[0][0]
__________________________________________________________________________________________________
conv3d_82 (Conv3D) (None, 2, 12, 1, 18) 1620 average_pooling3d_16[0][0]
__________________________________________________________________________________________________
batch_normalization_82 (BatchNo (None, 2, 12, 1, 18) 72 conv3d_82[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 2, 12, 1, 18) 0 batch_normalization_82[0][0]
__________________________________________________________________________________________________
dropout_55 (Dropout) (None, 2, 12, 1, 18) 0 activation_55[0][0]
__________________________________________________________________________________________________
add_27 (Add) (None, 2, 12, 5, 18) 0 average_pooling3d_16[0][0]
dropout_55[0][0]
__________________________________________________________________________________________________
conv3d_84 (Conv3D) (None, 2, 12, 5, 18) 1296 add_27[0][0]
__________________________________________________________________________________________________
batch_normalization_84 (BatchNo (None, 2, 12, 5, 18) 72 conv3d_84[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 2, 12, 5, 18) 0 batch_normalization_84[0][0]
__________________________________________________________________________________________________
dropout_56 (Dropout) (None, 2, 12, 5, 18) 0 activation_56[0][0]
__________________________________________________________________________________________________
add_28 (Add) (None, 2, 12, 5, 18) 0 add_27[0][0]
dropout_56[0][0]
__________________________________________________________________________________________________
average_pooling3d_17 (AveragePo (None, 2, 6, 5, 18) 0 add_28[0][0]
__________________________________________________________________________________________________
conv3d_85 (Conv3D) (None, 1, 6, 1, 18) 3240 average_pooling3d_17[0][0]
__________________________________________________________________________________________________
batch_normalization_85 (BatchNo (None, 1, 6, 1, 18) 72 conv3d_85[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 1, 6, 1, 18) 0 batch_normalization_85[0][0]
__________________________________________________________________________________________________
dropout_57 (Dropout) (None, 1, 6, 1, 18) 0 activation_57[0][0]
__________________________________________________________________________________________________
add_29 (Add) (None, 2, 6, 5, 18) 0 average_pooling3d_17[0][0]
dropout_57[0][0]
__________________________________________________________________________________________________
conv3d_86 (Conv3D) (None, 1, 6, 1, 18) 3240 add_29[0][0]
__________________________________________________________________________________________________
batch_normalization_86 (BatchNo (None, 1, 6, 1, 18) 72 conv3d_86[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 1, 6, 1, 18) 0 batch_normalization_86[0][0]
__________________________________________________________________________________________________
dropout_58 (Dropout) (None, 1, 6, 1, 18) 0 activation_58[0][0]
__________________________________________________________________________________________________
add_30 (Add) (None, 2, 6, 5, 18) 0 add_29[0][0]
dropout_58[0][0]
__________________________________________________________________________________________________
conv3d_87 (Conv3D) (None, 1, 6, 1, 18) 360 add_30[0][0]
__________________________________________________________________________________________________
batch_normalization_87 (BatchNo (None, 1, 6, 1, 18) 72 conv3d_87[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 1, 6, 1, 18) 0 batch_normalization_87[0][0]
__________________________________________________________________________________________________
dropout_59 (Dropout) (None, 1, 6, 1, 18) 0 activation_59[0][0]
__________________________________________________________________________________________________
conv3d_88 (Conv3D) (None, 1, 1, 1, 18) 1944 dropout_59[0][0]
__________________________________________________________________________________________________
batch_normalization_88 (BatchNo (None, 1, 1, 1, 18) 72 conv3d_88[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 1, 1, 1, 18) 0 batch_normalization_88[0][0]
__________________________________________________________________________________________________
dropout_60 (Dropout) (None, 1, 1, 1, 18) 0 activation_60[0][0]
__________________________________________________________________________________________________
add_31 (Add) (None, 1, 6, 1, 18) 0 dropout_59[0][0]
dropout_60[0][0]
__________________________________________________________________________________________________
conv3d_89 (Conv3D) (None, 1, 1, 1, 36) 216 add_31[0][0]
__________________________________________________________________________________________________
batch_normalization_89 (BatchNo (None, 1, 1, 1, 36) 144 conv3d_89[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 1, 1, 1, 36) 0 batch_normalization_89[0][0]
__________________________________________________________________________________________________
dropout_61 (Dropout) (None, 1, 1, 1, 36) 0 activation_61[0][0]
__________________________________________________________________________________________________
conv3d_90 (Conv3D) (None, 1, 1, 1, 36) 1296 dropout_61[0][0]
__________________________________________________________________________________________________
batch_normalization_90 (BatchNo (None, 1, 1, 1, 36) 144 conv3d_90[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 1, 1, 1, 36) 0 batch_normalization_90[0][0]
__________________________________________________________________________________________________
dropout_62 (Dropout) (None, 1, 1, 1, 36) 0 activation_62[0][0]
__________________________________________________________________________________________________
add_32 (Add) (None, 1, 1, 1, 36) 0 dropout_61[0][0]
dropout_62[0][0]
__________________________________________________________________________________________________
conv3d_91 (Conv3D) (None, 1, 1, 1, 36) 1296 add_32[0][0]
__________________________________________________________________________________________________
batch_normalization_91 (BatchNo (None, 1, 1, 1, 36) 144 conv3d_91[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 1, 1, 1, 36) 0 batch_normalization_91[0][0]
__________________________________________________________________________________________________
dropout_63 (Dropout) (None, 1, 1, 1, 36) 0 activation_63[0][0]
__________________________________________________________________________________________________
add_33 (Add) (None, 1, 1, 1, 36) 0 add_32[0][0]
dropout_63[0][0]
__________________________________________________________________________________________________
conv3d_92 (Conv3D) (None, 1, 1, 1, 36) 1296 add_33[0][0]
__________________________________________________________________________________________________
batch_normalization_92 (BatchNo (None, 1, 1, 1, 36) 144 conv3d_92[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 1, 1, 1, 36) 0 batch_normalization_92[0][0]
__________________________________________________________________________________________________
dropout_64 (Dropout) (None, 1, 1, 1, 36) 0 activation_64[0][0]
__________________________________________________________________________________________________
add_34 (Add) (None, 1, 1, 1, 36) 0 add_33[0][0]
dropout_64[0][0]
__________________________________________________________________________________________________
conv3d_93 (Conv3D) (None, 1, 1, 1, 36) 1296 add_34[0][0]
__________________________________________________________________________________________________
batch_normalization_93 (BatchNo (None, 1, 1, 1, 36) 144 conv3d_93[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 1, 1, 1, 36) 0 batch_normalization_93[0][0]
__________________________________________________________________________________________________
dropout_65 (Dropout) (None, 1, 1, 1, 36) 0 activation_65[0][0]
__________________________________________________________________________________________________
add_35 (Add) (None, 1, 1, 1, 36) 0 add_34[0][0]
dropout_65[0][0]
__________________________________________________________________________________________________
flatten_2 (Flatten) (None, 36) 0 add_35[0][0]
__________________________________________________________________________________________________
dense_2 (Dense) (None, 2) 74 flatten_2[0][0]
==================================================================================================
Total params: 144,440
Trainable params: 142,784
Non-trainable params: 1,656
__________________________________________________________________________________________________