[Paper Review & Implementation] MobileNet V1, V2, V3 (2017 - 2019)

Outlines References MobileNet V1 Depthwise Separable Convolution Comparison of Computational Cost Trade-Off : Accuracy vs...

2023, Jun 12   —  19 minute read

[Paper Review & Implementation] Aggregated Residual Transformations for Deep Neural Networks (ResNeXt, 2017) & Depthwise Separable Convolution

Outlines References Split-Transform-Merge Strategy Equivalent Building Blocks for ResNeXt Basic Building Block (Bottleneck) Comparison with...

2023, Jun 04   —  12 minute read

[Paper Review & Implementation] Deep Residual Learning for Image Recognition (ResNet, 2015) + Interpretation of ResNet as Ensembles of Networks (2016)

Outlines References Issue of Interest : Degradation Skip Connection & Projection Connection ResNet Architecture Implementation...

2023, Jun 01   —  19 minute read

[Paper Review & Implementation] Rethinking the Inception Architecture for Computer Vision (GoogleNet/Inception Net v2-3, 2015)

Outlines References Inception v2-v3 Architecture Label Smoothing Implementation with PyTorch Model Summary Forward Pass References...

2023, May 24   —  19 minute read

[Paper Review & Implementation] Going deeper with convolutions (GoogleNet/Inception Net v1, 2014)

Outlines References Inception V1 Architecture Implementation with PyTorch Model Summary Forward Pass References Going deeper...

2023, May 23   —  14 minute read

[Paper Review & Implementation] Very Deep Convolutional Networks for Large-Scale Image Recognition (VGGNet, 2015)

Outlines References VGGnet Architecture Implementation with PyTorch Model Summary Parameters Forward Pass References VERY DEEP...

2023, May 22   —  8 minute read