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목록ReLU (1)
Wiredwisdom
Alexnet Architecture (2012)
1. Deep Architecture 5 convolutional +3 fully connected with 60 million parameters 2. ReLU ActivationFirst major CNN to use ReLU instead tanh/sigmoid. 3. Dropout Regularization50% dropout in FC layers to prevent overfitting 4. GPU AccelerationTrained on two GTX 580 GPUs 5. Data AugmentationImage translations, horizontal reflections, and PCA color augmentation. 6. Local Response NormalizationNor..
2D Vision/CNN (Object Detection)
2025. 6. 27. 11:22