Weekly Contest 190.zip
该资源是LeetCode第190场周赛的四道题的代码,均为Java代码,可直接贴到LeetCode编辑器内运行,代码均可提交通过。
该资源是LeetCode第190场周赛的四道题的代码,均为Java代码,可直接贴到LeetCode编辑器内运行,代码均可提交通过。
It is our belief that researchers and practitioners acquire, through experience and word-of-mouth, techniques and heuristics that help them successfully apply neural networks to difficult real world problems. Often these "tricks" are theoretically well motivated. Sometimes they are the result of trial and error. However, their most common link is that they are usually hidden in people's heads or in the back pages of space-constrained conference papers. As a result newcomers to the field waste much time wondering why their networks train so slowly and perform so poorly. This book is an outgrowth of a 1996 NIPS workshop called Tricks of the Trade whose goal was to begin the process of gathering and documenting these tricks. The interest that the workshop generated, motivated us to expand our collection and compile it into this book. Although we have no doubt that there are many tricks we have missed, we hope that what we have included will prove to be useful, particularly to those who are relatively new to the field. Each chapter contains one or more tricks presented by a given author (or authors). We have attempted to group related chapters into sections, though we recognize that the different sections are far from disjoint. Some of the chapters (e.g. 1,13,17) contain entire systems of tricks that are far more general than the category they have been placed in.
神经网络与深度学习,作者Michael Nielsen是一位量子物理学家、科学作家、计算机编程研究人员。 《神经⽹络和深度学习》的内容包括: 神经⽹络,⼀种美妙的受⽣物学启发的编程范式,可以让计算机从观测数据中进⾏学习; 深度学习,⼀个强有⼒的⽤于神经⽹络学习的众多技术的集合。 《神经⽹络和深度学习》给出了在图像识别、语⾳识别和⾃然语⾔处理领域中很多问题的最好解决⽅案。
凸优化英语版电子书,由美国斯坦福大学Stephen Boyd教授和加州大学洛杉矶分校Lieven Vandenverghe教授合著,从理论、应用和算法三个方面系统地介绍凸优化内容。
C程序设计语言中文版第2版,由著名的计算机科学家Brian W. Kernighan和C语言之父的Dennis M. Ritchie合著的一部计算机科学著作,是第一部介绍C语言编程方法的书籍。它是一本必读的程序设计语言方面的参考书。
该资源是数据挖掘:概念与技术第三版英语版,可用于学习数据挖掘相关知识。
统计决策论及贝叶斯分析第二版英语版,概率论和统计学的经典读物。
统计自然语言处理英语版,包括统计学习的基本概念和自然语言处理的相关知识。
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