User contributions
5 April 2021
File:Dataset processing and augmentation.png
Dataset processing and augmentation
File:Samples per class in Microscope and DSLR subsets.png
FICS-PCB dataset, image samples per class in Microscope and DSLR subsets
File:FICS-PCB samples.png
FICS-PCB dataset image samples
File:Inception resnet v2 DPU latency.png
DPU latency of Inception ResNet V2 model for 1, 2, and 4 threads
File:Inception resnet v2 cores utilization.png
Utilization of CPU and DPU cores of Inception ResNet V2 model for 1, 2, and 4 threads
File:Inception resnet v1 DPU latency.png
DPU latency of Inception ResNet V1 model for 1, 2, and 4 threads
File:Inception resnet v1 cores utilization.png
Utilization of CPU and DPU cores of Inception ResNet V1 model for 1, 2, and 4 threads
File:Inception v4 DPU latency.png
DPU latency of InceptionV4 model for 1, 2, and 4 threads
File:Inception v4 cores utilization.png
Utilization of CPU and DPU cores of InceptionV4 model for 1, 2, and 4 threads
File:Resnet152 DPU latency.png
DPU latency of ResNet152 model for 1, 2, and 4 threads
File:Resnet152 cores utilization.png
Utilization of CPU and DPU cores of ResNet152 model for 1, 2, and 4 threads
File:Resnet101 DPU latency.png
Summary
File:Resnet101 DPU latency.png
DPU latency of ResNet152 model for 1, 2, and 4 threads
File:Resnet101 cores utilization.png
Utilization of CPU and DPU cores of ResNet101 model for 1, 2, and 4 threads
File:Resnet50 DPU latency.png
DPU latency of ResNet50 model for 1, 2, and 4 threads
File:Resnet50 cores utilization.png
Utilization of CPU and DPU cores of ResNet50 model for 1, 2, and 4 threads
ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1
no edit summary
+4,889
ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1
no edit summary
+780
ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1
no edit summary
+1,635
ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1
no edit summary
+10,456
File:Inception ResNet V2 train and validation loss.png
U0019 uploaded a new version of File:Inception ResNet V2 train and validation loss.png
File:Inception ResNet V2 train and validation accuracy.png
U0019 uploaded a new version of File:Inception ResNet V2 train and validation accuracy.png
File:Inception ResNet V1 train and validation loss.png
U0019 uploaded a new version of File:Inception ResNet V1 train and validation loss.png
File:Inception ResNet V1 train and validation accuracy.png
U0019 uploaded a new version of File:Inception ResNet V1 train and validation accuracy.png
File:InceptionV4 train and validation loss.png
U0019 uploaded a new version of File:InceptionV4 train and validation loss.png
File:InceptionV4 train and validation accuracy.png
U0019 uploaded a new version of File:InceptionV4 train and validation accuracy.png
File:Resnet152 train and validation loss.png
U0019 uploaded a new version of File:Resnet152 train and validation loss.png
File:Resnet152 train and validation accuracy.png
U0019 uploaded a new version of File:Resnet152 train and validation accuracy.png
File:Resnet101 train and validation loss.png
U0019 uploaded a new version of File:Resnet101 train and validation loss.png
File:Resnet101 train and validation accuracy.png
U0019 uploaded a new version of File:Resnet101 train and validation accuracy.png
File:Resnet50 train and validation loss.png
U0019 uploaded a new version of File:Resnet50 train and validation loss.png
File:Resnet50 train and validation accuracy.png
U0019 uploaded a new version of File:Resnet50 train and validation accuracy.png
19 March 2021
ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1
no edit summary
+2,033
File:Inception ResNet V2 target confusion matrix.png
Confusion matrix of Inception ResNet V2 model on target device after quantization
File:Inception ResNet V2 host confusion matrix.png
Confusion matrix of Inception ResNet V2 model on host machine before quantization
File:Inception ResNet V2 train and validation loss.png
Train and validation loss trend over 1000 training epochs for Inception ResNet V2 model
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 V1 target confusion matrix.png
Confusion matrix of Inception ResNet V1 model on target device after quantization
File:Inception ResNet V1 host confusion matrix.png
Confusion matrix of Inception ResNet V1 model on host machine before quantization
File:Inception ResNet V1 train and validation loss.png
Train and validation loss trend over 1000 training epochs for Inception ResNet V1 model
File:Inception ResNet V1 train and validation accuracy.png
Train and validation accuracy trend over 1000 training epochs for Inception ResNet V1 model
File:InceptionV4 target confusion matrix.png
Confusion matrix of InceptionV4 model on target device after quantization
File:InceptionV4 host confusion matrix.png
Confusion matrix of InceptionV4 model on host machine before quantization
File:InceptionV4 train and validation loss.png
Train and validation loss trend over 1000 training epochs for InceptionV4 model
File:InceptionV4 train and validation accuracy.png
Train and validation accuracy trend over 1000 training epochs for InceptionV4 model
File:Resnet152 target confusion matrix.png
Confusion matrix of ResNet152 model on target device after quantization
File:Resnet152 host confusion matrix.png
Confusion matrix of ResNet152 model on host machine before quantization
ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1
no edit summary
ML-TN-003 — AI at the edge: visual inspection of assembled PCBs for defect detection — Part 1
no edit summary
+615
File:Resnet50 train loss validation loss.png
U0019 moved page File:Resnet50 train loss validation loss.png to File:Resnet50 train and validation loss.png