This new edition provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption. FEATURES: Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises Includes DVD with resources, simulations, and figures from the book Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc. Table of Contents Part 1: Introduction Chapter 1 Overview of Artificial Intelligence PART II: FUNDAMENTALS Chapter 2 Uninformed Search Chapter 3 Informed Search Chapter 4 Search Using Games Chapter 5 Logic in Artificial Intelligence Chapter 6 Knowledge Representation Chapter 7 Production Systems PART III: KNOWLEDGE-BASED SYSTEMS Chapter 8 Uncertainty in AI Chapter 9 Expert Systems Chapter 10 Machine Learning: Part I Inductive Learning with Decision Trees Chapter 11 Machine Learning : Part II Neural Networks Chapter 12 Search Inspired by Mother Nature PART IV: ADVANCED TOPICS Chapter 13 Natural Language
2021-07-17 11:48:41 33.76MB Artificial Intelligence
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瓶颈变压器-火炬 在Pytorch中,在性能-计算权衡方面优于EfficientNet和DeiT的卷积(SotA)视觉识别模型的卷积+注意实现 安装 $ pip install bottleneck-transformer-pytorch 用法 import torch from torch import nn from bottleneck_transformer_pytorch import BottleStack layer = BottleStack ( dim = 256 , # channels in fmap_size = 64 , # feature map size dim_out = 2048 , # channels out proj_factor = 4 , #
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这是系列文章中的第一篇,我们将解释如何使用转换器创建AI聊天机器人。
2021-07-16 16:30:50 9.98MB Javascript artificial-intelligence tensorflow
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人工智能导论 我们期末考试的题型主要包括了选择、填空、判断、问答、证明等题型。大家复习的时候需要多理解老师们在课上讲的关于传统人工智能、博弈论、新人工智能的部分中的示例,不需要死记硬背一些概念。其中博弈论部分复习要点为: 1.基本概念 博弈 占优策略 纳什均衡 (混合)策略 囚徒困境 2.对抗算法基本原理 minimax 算法 alpha-beta 剪枝 蒙特卡洛树搜索算法 求star:red_heart::two_hearts::sparkling_heart::face_blowing_a_kiss: 人工智能的概念 定义 智能机器 能够在各类环境中自主地或交互地执行各种拟人任务(anthropomorphic tasks)的机器。 定义 1 人工智能 AI 是关于知识的科学,怎样表示知识以及怎样获得知识并使用知识的科学。(Nilsson) AI 就是研究如何使计算机做过去只有人才能做的智能工作。(Winston) 定义 2 人工智能(学科) 人工智能(学科)是计算机科学中涉及研究、设计和应用智能
2021-07-13 14:01:49 20.7MB notes artificial-intelligence HTML
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Manning.Grokking.Deep.Reinforcement.Learning.无水印版pdf
2021-07-08 09:09:33 72.5MB computerscience artificial neural network
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We call ourselves Homo sapiens—man the wise—because our intelligence is so important to us. For thousands of years, we have tried to understand how we think; that is, how a mere handful of matter can perceive, understand, predict, and manipulate a world far larger and more complicated than itself. The field of artificial intelligence, or AI, goes further still: it attempts not just to understand but also to build intelligent entities.
2021-07-07 14:10:25 13.68MB AI
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Artificial-Intelligence-A-Modern-Approach-3rd-Edition
2021-06-26 14:42:01 30.96MB AI
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Paradigms-of-Artificial-Intelligence-Programming.p
2021-06-25 15:51:36 17.45MB 人工智能 A
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Python中的群智能(遗传算法,粒子群优化,模拟退火,蚁群算法,免疫算法,Python中的人工鱼群算法) 文档: : 文档: : 源代码: : 帮助我们改善scikit-opt 安装 pip install scikit-opt 对于当前的开发人员版本: git clone git@github.com:guofei9987/scikit-opt.git cd scikit-opt pip install . 特征 功能1:UDF UDF (用户定义的函数)现在可用! 例如,您刚刚制定了一种新型的selection功能。 现在,您的selection功能如下所示: ->演示代码: # step1: define your own operator: def selection_tournament ( algorithm , tourn_size ): Fi
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人工智能简述 ARTIFICIAL INTELLIGENCE
2021-06-22 21:30:05 164KB ARTIFICIAL INTELLIGENCE
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