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Showing 1 to 3 of 3 for “"Swish"”.
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Size-Adaptive Convolutional Neural Network with Parameterized-Swish Activation for Enhanced Object Detection
… is presented through the Parameterized-Swish activation function. Distinguished by its dynamic parameters, this function is designed to better adapt to varying input patterns. It exceeds the performance of traditional activation functions by enabling faster model convergence and …
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A Comparison of Image Classification with Different Activation Functions in Balanced and Unbalanced Datasets
… The experimental results show that the swish and softplus functions enhance the classification ability of state-of-the-art networks. Finally, this thesis distinguishes the neural networks using ten activation functions, analyzes their pros and cons, and puts forward detailed suggestions …
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Efficientnext: Efficientnet For Embedded Systems
Convolutional Neural Networks have come a long way since AlexNet. Each year the limits of the state of the art are being pushed to new levels. EfficientNet pushed the performance metrics to a new high and EfficientNetV2 even more so. Even so, architectures for mobile applications can benefit from …