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ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1

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===InceptionV4===

File:InceptionV4 train and validation accuracy.png|Train and validation accuracy trend over 1000 training epochs for InceptionV4 model

File:InceptionV4 train and validation loss.png|Train and validation loss trend over 1000 training epochs for InceptionV4 model

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File:InceptionV4 host confusion matrix.png|Confusion matrix of InceptionV4 model on host machine before quantization

File:InceptionV4 target confusion matrix.png|Confusion matrix of InceptionV4 model on target device after quantization

</gallery>

===Inception ResNet V1===

File:Inception ResNet V1 train and validation accuracy.png|Train and validation accuracy trend over 1000 training epochs for Inception ResNet V1 model

File:Inception ResNet V1 train and validation loss.png|Train and validation loss trend over 1000 training epochs for Inception ResNet V1 model

</gallery>

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File:Inception ResNet V1 host confusion matrix.png|Confusion matrix of Inception ResNet V1 model on host machine before quantization

File:Inception ResNet V1 target confusion matrix.png|Confusion matrix of Inception ResNet V1 model on target device after quantization

</gallery>

===Inception ResNet V2===

File:Inception ResNet V2 train and validation accuracy.png|Train and validation accuracy trend over 1000 training epochs for Inception ResNet V2 model

File:Inception ResNet V2 train and validation loss.png|Train and validation loss trend over 1000 training epochs for Inception ResNet V2 model

</gallery>

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File:Inception ResNet V2 host confusion matrix.png|Confusion matrix of Inception ResNet V2 model on host machine before quantization

File:Inception ResNet V2 target confusion matrix.png|Confusion matrix of Inception ResNet V2 model on target device after quantization

</gallery>

==Comparison==

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ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1

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