Convolutional Neural Networks
PReLU-Net
Introduced by He et al. in Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet ClassificationPReLU-Net is a type of convolutional neural network that utilises parameterized ReLUs for its activation function. It also uses a robust initialization scheme - afterwards known as Kaiming Initialization - that accounts for non-linear activation functions.
Source: Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Papers
| Paper | Code | Results | Date | Stars |
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Convolution
Dense Connections
Dropout
Kaiming Initialization
Max Pooling
PReLU
Softmax
Spatial Pyramid Pooling
