Gradient descent is an iterative optimization algorithm used to minimize a function by moving in the direction of steepest descent (the negative of the gradient). It's commonly used in machine ...
An interactive web application that visualizes the vanishing gradient problem in Recurrent Neural Networks (RNNs). This tool demonstrates how gradients exponentially decay as they backpropagate ...
Abstract: While side-channel attacks (SCAs) have become a significant threat to cryptographic algorithms, masking is considered as an effective countermeasure against SCAs. On the one hand, securely ...
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