Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks Key FeaturesTrain different kinds of deep learning model from scratch to solve specific problems in Computer VisionCombine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and moreIncludes tips on optimizing and improving the performance of your models under various constraintsBook Description Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation. What you will learnSet up an environment for deep learning with Python, TensorFlow, and KerasDefine and train a model for image and video classificationUse features from a pre-trained Convolutional Neural Network model for image retrievalUnderstand and implement object detection using the real-world Pedestrian Detection scenarioLearn about various problems in image captioning and how to overcome them by training images and text togetherImplement similarity matching and train a model for face recognitionUnderstand the concept of generative models and use them for image generationDeploy your deep learning models and optimize them for high performanceWho This Book Is For This book is targeted

这本书是Rod Johnson的成名著作，非常经典，从这本书中的代码诞生了springframework。

Design-Expert 响应面分析软件使用教程

Expert C++/CLI: .NET for Visual C++ Programmers Several members of the Visual C++ team have been great sources for in-depth informa- tion about implementation details of C++/CLI and the CLR. These guys are Martyn Lovell, Brandon Bray, Arjun Bijanki, Jeff Peil, Herb Sutter, Ayman Shoukry, and Bill Dunlap. Many top- ics that I cover in this book are insights that I got from them.

如若不能运行，请安装目录内的：[emuch.net]909438_vcredist_x86.rar

一款可以破解Design-Expert.8.05b的小软件，将破解工具DxTrialReset.exe复制到Design-Expert.8.05b安装目录下，运行即可！

进行响应面分析，资源是Design-Expert.V8.0.6.1软件，应用程序

design expert 是一种非常好用的数据分析软件，在统计学中具有很好的指导意义，越来越多的文章中用到了DESIGN EXPERT。

压缩文件中有两份design-expert的使用教程，详细介绍了响应曲面法的有关操作，希望能帮助到大家！

专家系统之算法设计 Mathematics--Artificial Intelligence And Expert Systems