经典的Java数据结构书，内容详细，简单易懂！

人体检测梯度方向直方图 Histograms of Oriented Gradients for Human Detection

PySDMs Python中的生态物种分布模型（SDM）的面向对象的类。 建模指标 物种分布的地理分类 包装布局 库代码本身 许可证，适用于此软件包 README.md-您现在正在阅读的README文件 -先决条件安装该软件包，通过使用PIP 安装程序脚本 /-单元测试 较长的说明： 物种分布建模（SDM）的面向对象的类。 PySDM在SDM框架的建模部分完成了大部分繁重的工作，其中的插值功能主要将地理分类步骤包装在面向对象的方式中。 省略了SDM工作流程的预处理步骤，主要是因为它们在R中更容易执行（请参阅examples /中Jupyter笔记本末尾的围兜链接）。 PySDM是为我的约书亚树和沙漠夜蜥蜴的气候变化影响研究项目而开发的。 职能 self.fit（）：使用PyCaret进行模型训练，考虑基于树的方法，神经网络和最佳子集选择软投票混合。 需要一个具有分类目标和数字说

Current World Wide Web browsers give you a window to another world, you can choose where to look and what to see.Java removes the glass barrier and lets you actively interact with that world.Active Java is a gentle introduction to the use of Java programming languages,starting from first principles and progressing to the point where the reader can employ the advanced facilities of the language. Once you have read this book,you will be able to write substantial Java applications and Applets and incorporate Java code within your web pages.

原版的Head.First.Object-Oriented.Design.and.Analysis。图文并茂。

Real-Time C++

强化学习对话生成 应用深度强化学习进行对话生成。 又名聊天机器人

Pattern-Oriented Software Architecture Volume 1 - A System of Patterns Volume 2 - Patterns for Concurrent and Networked Objects Volume 3 - Patterns for Resource Management Volume 4 - May.2007 Volume 5 - On Patterns and Pattern Languages

本书是UML创始人Grady Booch的代表作之一，书中介绍的概念都基于牢固的理论基础。同时，本书又是一本注重实效的书，面向架构师和软件开发者等软件工程实践者的实际需要。本书通过大量例子说明了基本概念，解释了方法，并展示了在不同领域的成功应用。全书分为理论和应用两部分。理论部分深刻剖析了面向对象分析与设计 (OOAD)的概念和方法。应用部分连续列出了5个不同类型、不同领域的应用，描述如何从初始阶段到移交阶段将OOAD理论和方法应用到项目中。应用部分所涉及的领域包括系统架构、数据获取、密码分析、控制系统和Web开发，还给出了一些关于重要问题的有效建议，包括分类、实现策略和高性价比的项目管理。 Amazon.com Review In this eagerly awaited second edition, Grady Booch draws upon the rich and varied results of those projects and offers improved methods for object development and a new, unified notation. With numerous examples implemented in C++, Booch illustrates essential concepts, explains the method, and shows successful applications in a variety of fields. Booch also gives pragmatic advice on a host of issues, including classification, implementation strategies, and cost-effective project management. A two-time winner of Software Development's coveted Jolt Cola Product Excellence Award! --This text refers to the Hardcover edition. Product Description Object-Oriented Design with Applications has long been the essential reference to object-oriented technology, which, in turn, has evolved to join the mainstream of industrial-strength software development. In this third edition--the first revision in 13 years--readers can learn to apply object-oriented methods using new paradigms such as Java, the Unified Modeling Language (UML) 2.0, and .NET. The authors draw upon their rich and varied experience to offer improved methods for object development and numerous examples that tackle the complex problems faced by software engineers, including systems architecture, data acquisition, cryptoanalysis, control systems, and Web development. They illustrate essential concepts, explain the method, and show successful applications in a variety of fields. You'll also find pragmatic advice on a host of issues, including classification, implementation strategies, and cost-effective project management. New to this new edition are * An introduction to the new UML 2.0, from the

High computational complexity hinders the widespread usage of Convolutional Neural Networks (CNNs), especially in mobile devices. Hardware accelerators are arguably the most promising approach for reducing both execution time and power consumption. One of the most important steps in accelerator development is hardware-oriented model approximation. In this paper we present Ristretto, a model approximation framework that analyzes a given CNN with respect to numerical resolution used in representing weights and outputs of convolutional and fully connected layers. Ristretto can condense models by using fixed point arithmetic and representation instead of floating point. Moreover, Ristretto fine-tunes the resulting fixed point network. Given a maximum error tolerance of 1%, Ristretto can successfully condense CaffeNet and SqueezeNet to 8-bit. The code for Ristretto is available. Comments: 8 pages, 4 figures, Accepted as a workshop contribution at ICLR 2016. Updated comparison to other works Subjects: Computer Vision and Pattern Recognition (cs.CV)