Bayesian Neural Networks MCMC Tutorial Data
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/sydney-machine-learning/Bayesianneuralnetworks-MCMC-tutorial
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资源简介：
该数据集包含了实现贝叶斯线性模型、逻辑斯蒂模型以及使用马尔可夫链蒙特卡洛（MCMC）方法的贝叶斯神经网络所需的代码和数据。此外，该仓库还包含了实现这些模型所需的Jupyter笔记本、数据、函数以及环境设置细节。该任务旨在进行贝叶斯推理和参数估计。
This dataset contains code and data required for implementing Bayesian linear models, logistic models, and Bayesian neural networks using Markov Chain Monte Carlo (MCMC) methods. In addition, this repository also includes Jupyter notebooks, datasets, utility functions, and environment setup details needed to implement these models. This task aims to perform Bayesian inference and parameter estimation.
提供机构：
sydney-machine-learning
