Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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, ...
jupyterlite_beginner_tutorial_with_exercises_v2.ipynb — JupyterLite の基本操作と演習問題。 jupyterlite_xeus_r_stats_practice.ipynb — R 統計演習用 Notebook。 numpy_beginner_tutorial.ipynb — NumPy 初級：配列の作成 ...
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