IEEE

Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function

Abstract: Adaptive optimizers are pivotal in guiding the weight updates of deep neural networks, yet they often face challenges such as poor generalization and oscillation issues. To counter these, we ...
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Web VPython tutorial: Building a standard deviation function

Learn how to build a standard deviation function in VPython with this step-by-step web tutorial! Perfect for coding, data analysis, and physics simulations. #VPython #PythonTutorial #StandardDeviation ...
Hosted on MSN

Python tutorial: Creating contour plots with NumPy meshgrid

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...
IEEE

Improved Cmos-Based Noise-Immune Sigmoid Activation Function for Neural Networks

Abstract: This work discusses an improved CMOS-based, noise-immune nonlinear sigmoid activation function designed for enhanced neural network performance. The proposed architecture provides a precise, ...