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Activation functions in neural networks: Types and examples

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why ...
IEEE

Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification

Abstract: Owing to the superior performances, exemplar-based methods with knowledge distillation (KD) are widely applied in class incremental learning (CIL). However, it suffers from two drawbacks: 1) ...
IEEE

A New Power Load Forecasting Model (SIndRNN): Independently Recurrent Neural Network Based on Softmax Kernel Function

Abstract: In the development of the smart grid, the accuracy of power load forecasting plays a crucial role. The characteristics of the time series data of power load are affected by different regions ...