小秋SLAM笔记

小秋SLAM笔记

使用Keras的编程技巧 Keras-Tips-Tricks-and-Techniques-master.zip

A survey on joint tracking using expectation-maximization based techniques

iOS 动画原理基础

对雷达天线的简要介绍。即使工作重点是信号处理，那也要对天线的基础知识与所了解。该文档简明扼要的介绍了天线的基本知识，适合用来快速了解天线。

实时大数据分析，找了很久才发现这个资源是我想找的，对学习大数据很有帮助

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

该书是关于调制解调最详细的理论书籍，是通信电子类最需要学习的资料

Combinatorics: Topics, Techniques, Algorithms 比较老而且经典的一本教材 搜了好久才搜到 共享出来了