PI Expert Suite 10.3.5通过增强的原理图处理工具和自动生成的材料清单（BOM）提高了设计效率，让您快速订购原型制作所需的零件。此外，它包括一个新的设计向导（Design Wizard），帮助您选择最适合您设计的产品。

The report focuses on development of the expert system, which can provide for the producer the quantitative analyze of rice cultivation process managing methods. The rice growth base knowledge is presented in it in the form of mathematical regression models. While developing the system, the Web-technologies and JESS expert system are used. As the result, the knowledgebase and the prototype of rice cultivation management expert system were developed by the authors. The convergence of crop growth

Expert.C.Programming，C专家编程，英文版，带目录。看网上的版本没找到带目录的，自己给这个还比较清晰的版本添加了目录，希望能给大家带来一些方便

CCIE Cisco Certified Internetwork Expert Study Guide Second Edition.pdf

你在开发SQLite3数据库时需要一个容易的和强大的工具吗？SQLite Expert Personal会是你最好的选择。这有最丰富的管理和开发工具特征。SQLite Expert Personal回答所有用户的需求，从编写简单的SQL查询到开发复杂的数据库。

你在开发SQLite3数据库时需要一个容易的和强大的工具吗？SQLite Expert Personal会是你最好的选择。这有最丰富的管理和开发工具特征。SQLite Expert Personal回答所有用户的需求，从编写简单的SQL查询到开发复杂的数据库。

你在开发SQLite3数据库时需要一个容易的和强大的工具吗？SQLite Expert Personal会是你最好的选择。这有最丰富的管理和开发工具特征。SQLite Expert Personal回答所有用户的需求，从编写简单的SQL查询到开发复杂的数据库。

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