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。

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

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！

Neural Networks and Deep Learning - 神经网络与深度学习 中英两个版本文件- 完美排版

Siamese Neural Networks for One-shot Image Recognition，关于用于一次性图像识别的连体神经网络的论文，方便深入图像深度学习

Non-Local Neural Networks with Grouped Bilinear Attentional Transforms, 论文Non-Local Neural Networks with Grouped Bilinear Attentional Transforms中提出的一种针对non-local网络改进的网络结构。 Non-local可以建模时间和空间维度上的关联性；GCNet结合了基于通道的注意力机制SE和能够捕获全局空间信息的Non-local网络；BAT是在传统的non-local模块上改进的可进行变形操作的新型模块，并且在图片分类和视频分类的性能上已经超过了传统的non-local网络结构。