吴恩达机器学习 Neural Networks for Binary Classification Jupyter note版本编程作业 机器学习与数据挖掘

Neural Networks for Handwritten Digit Recogn 吴恩达机器学习 jupyter note 版本编程作业 机器学习与数据挖掘 用神经网络识别手写数字0-9

Michael Nielsen的Neural Networks and Deep Learning，由Xiaohu Zhu，Freeman Zhang等人提供中文翻译的开源版本，这个是最新的v0.5中文版。

构建贝叶斯网络。

生成对抗网络综述：How Generative Adversarial Networks and Their Variants Work: An Overview

In this paper we propose acoustic direction of arrival (DOA) estimation with neural networks. Conventional signal processing tasks such as DOA estimation have benefited from recent advancements in deep learning, which leads to a data-driven approach that allows neural networks to be employed in a black-box manner. From traditional aspects, modern network models often lack interpretability when directly employed in signal processing realm. As an alternative, we introduce a learnable network from

Distributed synchronization in wireless networks 是一篇很经典的讲述分布式同步的IEEE文章， 这是我对这篇文献阅读后总结的笔记，内有很多个人对文献的独到理解 作者：RayGoodwill 单位：桂林电子科技大学

GPSR will allow the building of networks that cannot scale using prior routing algorithms for wired and wireless networks. Such classes of networks include: Sensor networks: potentially mobile, potentially great density, vast numbers of nodes, impoverished per-node resources Rooftop networks: fixed, dense deployment of vast numbers of nodes Vehicular networks: mobile, non-power-constrained, widely varying density Ad-hoc networks: mobile, varying density, no fixed infrastructure

自述文件 该存储库是做什么用的？ 适用于Python的多层网络分析库 入门。 主要特点 纯Python 可以处理一般的 多层网络和Multiplex网络（具有自动生成的惰性求值耦合边） 功能：分析，转换，读写网络，网络模型等 可视化（使用Matplotlib） 与集成以进行单工网络分析 贡献准则 欢迎捐款 请编写单元测试并将其添加到测试框架 使用Python docstring和Sphinx的文档 我要和谁说话？ 主要开发商：

神经网络和深度学习（Neural Networks and Deep Learning） Michael Nielsen 中文版