ACS580使用说明书

说明：  A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.

从百度上下载音乐的脚本,需要用到python2.x的库。(download music from music.baidu.com)

基于GPU的视点相关自适应细分文档，最新开发过程(GPU based on the view-dependent adaptive subdivision)

一本编程算法书，全书共30章，提供了差分方程模型、变分法、马氏链模型、神经网络模型等十几个模型的编程方法。(A programming algorithm book, a total of 30 chapters, provides a differential equation model, variational method, Markov chain model, neural network model and so on more than a dozen models of programming methods.)

MATLAB神经网络43个案例分析.pdf+源码(43 cases of MATLAB neural network analysis of.Pdf+ source code)

比较实用的opencv电子书 比较实用的opencv电子书 比较实用的opencv电子书(Opencv more practical e-books e-books more practical opencv more practical e-books opencv)

Caffe官方教程中译本. Caffe CaffeCaffeCaffe是一个深度学习框架 是一个深度学习框架 是一个深度学习框架 是一个深度学习框架 是一个深度学习框架 。本教程 讲述 了 Caffe CaffeCaffeCaffe的设计 哲学 、架构和使用方法。 架构和使用方法。 架构和使用方法。 架构和使用方法。 架构和使用方法。 这是一 份关于 份关于 Caffeaffeaffeaffe的实践指引 的实践指引 的实践指引 和介绍， 介绍， 但文中 并不 包含 关于深度学习 关于深度学习 关于深度学习 的前沿、 的前沿、 的前沿、 进展 和历史 等方面 的内容。(The official translation of Caffe)

q-learning最初设计文章和谷歌大神David silver 的ppt。(there are a paper about q-learning and ppt David silver who is working at google.)

本文对16QAM解调软信息输出(LLR)理论计算方法进行分析，推导 出其简化解调算法。将两者在性能和计算复杂度方面进行了分析比较，并分别在 高斯白噪声信道和瑞利衰落信道环境下进行仿真(In this paper, 16QAM demodulator soft information output (LLR) theoretical calculation method for the analysis derived simplified demodulation algorithm. Both in performance and computational complexity aspects are analyzed and compared, and in white Gaussian noise channel and Rayleigh fading channel simulation environment)

说明：  ＬＤＰＣ　编码算法　　基于LU的校验矩阵编码方法(LDPC coding algorithm based on LU checksum matrix encoding method)