[C++探秘 68讲贯通C++].(.Exploring.C++.The.Programmer’s.Introduction.to.C++.).里斯纳.扫描版，中文 本书采用引导探索式的教学方法，将庞大的C++ 知识体系划分成四个大部分68 讲，每讲都包含一个互动练习，帮助读者循序渐进地学习C++。你可以通过这种互动快速掌握表达式、声明、标准库、自定义函数、类和模板等等C++ 的各方面特性，并最终掌握如何把这些特性组合起来编写复杂的C++ 程序。 本书适合有少量其他语言编程经验的C++ 初学者。

2020原论文，simple Siamese

探索天气趋势-数据分析-Udacity纳米项目 该项目是Data Analysis Nanodegree Term-1的第一个项目 概括 分析了本地（都柏林-爱尔兰）和全球温度数据，并比较了温度趋势。 在SQL中从数据库中进行实际数据提取在Excel中进行了数据操作并进行了探索性在决定如何可视化趋势时概述了观察和主要注意事项 该项目的目的是回答以下问题： 与全球平均水平相比，您的城市平均温度更高还是更低？ 随着时间的流逝，差异是否始终如一？ “随着时间的推移，城市温度的​​变化与全球平均水平的变化相比如何？” 总体趋势如何？ 世界是变热还是变凉？ 在过去的几百年中，这种趋势是否一直保持一致？

Exploring Research is organized into 14 chapters (with a big and little Chapters 3A and 3B, respectively) and three appendices. Copyright © 2012 by Pearson Education, Inc

Exploring Olfaction for Enhancing Multisensory and Emotional Game Experience

[神经科学.探索脑].Neuroscience.Exploring.the.Brain.(2nd.Edition).2004.CHS.Scan.（美）贝尔，（美）柯勒斯，（美）帕罗蒂斯.pdf

Exploring Blazor

Exploring an advanced state of the art deep learning models and its applications using Popular python libraries like Keras, Tensorflow, and Pytorch Key Features • A strong foundation on neural networks and deep learning with Python libraries. • Explore advanced deep learning techniques and their applications across computer vision and NLP. • Learn how a computer can navigate in complex environments with reinforcement learning. Book Description With the surge of Artificial Intelligence in each and every application catering to both business and consumer needs, Deep Learning becomes the prime need of today and future market demands. This book explores deep learning and builds a strong deep learning mindset in order to put them into use in their smart artificial intelligence projects. This second edition builds strong grounds of deep learning, deep neural networks and how to train them with high-performance algorithms and popular python frameworks. You will uncover different neural networks architectures like convolutional networks, recurrent networks, long short term memory (LSTM) and solve problems across image recognition, natural language processing, and time-series prediction. You will also explore the newly evolved area of reinforcement learning and it will help you to understand the state-of-the-art algorithms which are the main engines behind popular game Go, Atari, and Dota. By the end of the book, you will be well versed with practical deep learning knowledge and its real-world applications What you will learn • Grasp mathematical theory behind neural networks and deep learning process. • Investigate and resolve computer vision challenges using convolutional networks and capsule networks. • Solve Generative tasks using Variational Autoencoders and Generative Adversarial Nets (GANs). • Explore Reinforcement Learning and understand how agents behave in a complex environment. • Implement complex natural language processing tasks using recurrent networks (LSTM

Python for Everybody: Exploring Data in Python 3 2016 | ISBN-10: 1530051126 | ASIN: B01IA5VIFM | 242 pages | PDF, EPUB | 7 MB Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software. This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information". There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.

Explore advanced .NET APIs and create a basic .NET core library with dynamic code generation and metadata inspection to be used by other libraries or client applications. This book starts with the benefits of .NET including its fundamental tasks and tools where you will learn .NET SDK tools and the ILDasm tool. This is followed by a detailed discussion on code generation in .NET API programming.