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.

Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus! You'll also learn how to: Draw and transform 2D and 3D graphics with matrices Make colorful designs like the Mandelbrot and Julia sets with complex numbers Use recursion to create fractals like the Koch snowflake and the Sierpinski triangle Generate virtual sheep that graze on grass and multiply autonomously Crack secret codes using genetic algorithms

引用自ArcGIS家园的介绍： “《Exploring ArcObjects》 -----一本很不错的AO技术文档，对AO的开发进行了很好的组织，而且有大量的示例，可以随时复制利用。” 另外，我觉得既然要分享，就不应该要求资源分

Exploring BeagleBone Tools and Techniques for Building with Embedded Linux - Derek Molloy 2015

Neuroscience: Exploring the Brain 3rd Edition PDF 可以用linux pdftotext 转化为文本文件，方便好用。 比网络上的djvu好用

海龟编程的概念可以百度，实际上和OpenGL画笔很像。LOGO是为海龟编程而开发的语言（PS 很多语言中应当也有Turtle库，例如Python），而这本书则用turtle programming讲授几何学与拓扑学中各种有趣的知识。

经典的PIC单片机电子书 Programming.32-bit.Microcontrollers.in.C.Exploring.the.PIC32.Apr.2008

Paperback: 214 pages Publisher: Packt Publishing (February 24, 2015) Language: English ISBN-10: 1784390593 ISBN-13: 978-1784390594 Discover Security Enhancements (SE) for Android to build your own protected Android-based systems About This Book Learn the fundamental security models and motivations behind Linux, SELinux, and SE for Android. Build and enable current security enhancements from the SE for Android project onto a working embedded UDOO board. Discover how to leverage SE for Android to secure your own projects in powerful ways using this step by step guide. Who This Book Is For This book is intended for developers and engineers with some familiarity of operating system concepts as implemented by Linux. A basic background in C code would be helpful. Their positions range from hobbyists wanting to secure their Android powered creations to OEM engineers building handsets to engineers of emerging areas where Android is seeing growth. What You Will Learn Experiment with Linux and SELinux access controls Build custom Android kernels Backport SE for Android patches to different Android versions Explore binder and property services, what they are, and how and why SELinux integrates them Work with Android core internal systems like init and zygote Learn how to keep pace with and navigate the details of fast moving open source projects Overcome obstacles in policy development through directed experimentation