Res Net
ResNet (Residual Network) is a convolutional neural network architecture introduced by Microsoft Research in 2015 that uses "skip connections" to let very deep networks be trained effectively, solving a degradation problem that had previously made adding more layers to a network hurt, rather than help, accuracy.
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Glossary Terms(3)
YOLO
YOLO (You Only Look Once) is a family of real-time object detection models, originally introduced by Joseph Redmon in 2016, that detect and classify multiple o…
ResNet
ResNet (Residual Network) is a convolutional neural network architecture introduced by Microsoft Research in 2015 that uses "skip connections" to let very deep…
Vision Transformer (ViT)
Vision Transformer (ViT) is an image classification architecture introduced by Google Research in 2020 that applies the Transformer architecture — originally d…