资源列表
TensorFlow实战_黄文坚(完整)
- tensorflow框架下,各种深度学习实例,方便学习。(Tensorflow framework, a variety of deep learning examples, easy to learn.)
TensorFlow 官方文档中文版 - v1.2
- tensorflow官方文档中文版,方便用python学习该深度学习框架(The Chinese version of the official document of tensorflow is convenient for learning the deep learning framework with Python)
LMAV
- Bellman_Ford 算法,求解带有负权重的边的单源点最短路径问题()
chapter25
- 各类分析代码,可实现最小二乘普通回归的比较(Principal component regression)
李航_统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法,特别是监督学习方法,包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(The statistical learning method is an important subject in the field of computer and its application.)
22424685
- ACM里面一道题目,Gone Fishing,也是算法分析研究的题型,就是如何在各个钓鱼点进行排列,然后可以获得最多的鱼()
2The Elements of Statistical Learning
- This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a va
AllElectronics
- 决策树算法,并附有相关数据集以及可视化的方法,并附有可视化的图例。(The decision tree algorithm is attached with relevant data sets and visualization methods with visual illustrations.)
JMMPN
- acm基础 数论 知识必备!很重要的基本功! 有助于菜鸟入门!()
alblhk
- acm 1383的解题目的报告 写的比较规范 容易懂()
EONULPQ
- 1满足均匀分布的[M,N]区间随机数,其中M,N是正整数, (2) 满足指数分布的[M,N]区间随机数,其中M,N是正()
aorldtoiggev
- 1235 杭州电子科技大学acm代码即可将会计科()