IEEE

Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting

Abstract: Short-Term Load Forecasting (STLF) is essential for ensuring efficient and reliable power system operations, requiring accurate predictions of electricity demand. Deep Residual Networks ...
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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 to use an Activation Function and which Activation function to use. The ...
IEEE

Exploring the Effects of an Asymmetric Activation Function in a Chaotic Neural Network Model of Epilepsy

Abstract: In this work, a chaotic neural network model for epilepsy is studied. The network is modeled as a discrete map, consisting of two layers, in which the presence of chaos denotes healthy ...
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Neural network activation functions explained simply

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks ...
IEEE

Analog Softmax with Wide Input Current Range for In-Memory Computing

Abstract: The Softmax activation function plays a pivotal role in both the attention mechanism of Transformers and in the final layer of neural networks performing classification. The Softmax function ...
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What Are Activation Functions in Deep Learning? Explained Clearly

Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation covers popular functions like ReLU, Sigmoid, and Tanh—showing how they help ...