Difference between revisions of "ResNet-50"
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* [http://ethereon.github.io/netscope/#/gist/db945b393d40bfa26006 ResNet-50 Architecture in Detail | Ethereon] | * [http://ethereon.github.io/netscope/#/gist/db945b393d40bfa26006 ResNet-50 Architecture in Detail | Ethereon] | ||
* [[(Deep) Residual Network (DRN) - ResNet]] | * [[(Deep) Residual Network (DRN) - ResNet]] | ||
| − | * [[Object Detection; Faster R-CNN, YOLO, SSD | + | * [[Object Detection]]; Faster Region-based Convolutional Neural Networks (R-CNN), You only Look Once (YOLO), Single Shot Detector(SSD) |
* [[Deep Learning]] | * [[Deep Learning]] | ||
* [[DeepLens - deep learning enabled video camera]] | * [[DeepLens - deep learning enabled video camera]] | ||
Revision as of 16:36, 14 July 2020
Youtube search... ...Google search
- ResNet-50 Architecture in Detail | Ethereon
- (Deep) Residual Network (DRN) - ResNet
- Object Detection; Faster Region-based Convolutional Neural Networks (R-CNN), You only Look Once (YOLO), Single Shot Detector(SSD)
- Deep Learning
- DeepLens - deep learning enabled video camera
- Image Retrieval / Object Detection
ResNet is a short name for Residual Network. As the name of the network indicates, the new terminology that this network introduces is residual learning. ResNet50 is a 50 layer Residual Network. There are other variants like ResNet101 and ResNet152 also.
Examples
