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

Most 3D shape classification and retrieval algorithms were based on rigid 3D shapes, deploying these algorithms directly to nonrigid 3D shapes may lead to poor performance due to complexity and changeability of non-rigid 3D shapes. To address this challenge, we propose a fusion view convolutional neural networks (FVCNN) framework to extract the deep fusion features for non-rigid 3D shape classification and retrieval. We first propose a projection module to transform the nonrigid 3D shape into a

Neural Networks and Deep Learning神经网络与深度学习 中文版.pdf 个人收集电子书，仅用学习使用，不可用于商业用途，如有版权问题，请联系删除！