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#resnet
The ReLU activation function is a non-linear function that is commonly used in deep learning models, including convolutional neural networks (CNNs) like ResNet50. The ReLU function is defined as follows: ReLU(x) = max(0, x) In other words,…
What is RESNET? The winner of ILSRVC 2015, also called Residual Neural Network (ResNet) by Kaiming. This architecture introduced a concept called “skip connections”. Typically, the input matrix calc…
