yifanwz的专栏

This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the strength of both an exhaustive search and segmentation. Like segmentation, we use the image structure to guide our sampling process. Like exhaustive search, we aim to capture all possible object locations. Instead of a single technique to generate possible object locations, we diversify our search and use a variety of complementary image partitionings to deal with as many image conditions as possible. Our selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99% recall and a Mean Average Best Overlap of 0.879 at 10,097 locations. The reduced number of locations compared to an exhaustive search enables the use of stronger machine learning techniques and stronger appearance models for object recognition. In this paper we show that our selective search enables the use of the powerful Bag-of-Words model for recognition. The selective search software is made publicly available (Software: http://disi.unitn.it/similar to uijlings/SelectiveSearch.html).

DeepMind 在《Nature》上新发表的一篇论文，他们使用深度学习技术来训练一只老鼠，在虚拟环境中追踪其位置，模拟人类大脑的空间导航能力。据文章介绍，该研究能够协助传统的神经科学研究来测试大脑工作原理。

EPUB格式，包含配套代码。压缩包里还包括Fluent Python，PDF和EPUB格式；Python Master the Art of Design Patterns，PDF格式。 What you will learn Understand the basics of RL methods, algorithms, and elements Train an agent to walk using OpenAI Gym and Tensorflow Understand Markov decision process, Bellman's optimality, and temporal difference (TD) learning Solve multi-armed bandit problems using various algorithms Master deep learning algorithms, such as RNN, LSTM, and CNN with applications Build intelligent agents using the DRQN algorithm to play the Doom game Teach agents to play the Lunar Lander game using DDPG Train an agent to win a car racing game using dueling DQN

EPUB格式，包含配套代码。 压缩包里还有Objective-C for Absolute Beginners, 3rd Edition，pdf格式；Programming in Objective-C, 6th Edition，pdf和EPUB格式 What you will learn Explore intelligent agents and learning environments Understand the basics of RL and deep RL Get started with OpenAI Gym and PyTorch for deep reinforcemen

In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.

X档案游戏版，配套电视剧的游戏，解谜类，电视剧中的演员在游戏中都有演出。这是游戏的说明书。

电子游戏已成为信息时代的日常娱乐，而它背后的文化和历史却鲜为人知。本书是第一部游戏领域的传记文学，它忠实详尽地讲述了两位玩家是如何走上游戏之路，如何制作出迄今为止影响力最大的游戏作品——Doom和Quake，以及他们为何在最辉煌的时候分道扬镳。与所有传记文学一样，不同的读者能从中得到不同体验：游戏制作的背景内幕，光环之中的趣闻轶事，年少创业的梦想豪情，奋斗途上的汗水艰辛，成名之后的势易情迁，或是那独辟蹊径的商业模式，天下为公的黒客精神，众说纷纭的暴力问题…… 　　本书首先是为众多的游戏玩家，尤其是John Carmack和id software 的忠实拥趸们准备的，而对更多的人，无论你是否玩DOOM游戏，无论你是否崇拜John Carmack，都会从John Carmack和id software的成功中获得启示。 　　无论是DOOM还是id software，它们都深深打上了John Carmack和John Romero（中途离开了id software），尤其是Carmack的个人烙印。事实上，John Carmack和他的id software被认为是电玩革命之父：从DOOM开始，idsoft的游戏图像引擎成为了业界的标准，而DOOM作为一个已售出一亿零八百万美元的品牌（包括最早的两个版本以及若干个扩展包），直接成为了第一人称视角射击游戏（FPS）的代名词。

Myeclipse开发教程,介绍了Myeclipse的开发方法，主要用于Java EE开发。

用这个代理IPV6地址上网可以实现IPV6的上网效果，这个是64位版本

IPV6代理软件，用这个可以使用IPV6地址上网