Tutorial系列Table of Contents
AI/Artificial IntelligenceBasicsconcepts
介绍AI/Artificial Intelligence 定义, 发展history, 主要branch and basic原理, helping您建立 for AI 整体认识, UnderstandAI/Artificial Intelligence and 人class智能 区别 and 联系.
View Details机器LearnBasics
详细介绍机器Learn basicconcepts, working principles and 主要algorithms, including监督Learn, 无监督Learn and 强化Learn, 以及data预processing and modelassessmentmethod.
View Details神经networkBasics
Deep Dive讲解神经network basicstructure, working principles and 数学Basics, including感知器, many 层神经network, 激活function, before 向传播 and 反向传播algorithms.
View Details深度LearnIntroduction
介绍深度Learn concepts, 发展历程 and coretechniques, including卷积神经network(CNN), 循环神经network(RNN), 生成 for 抗network(GAN)etc.经典architecture.
View Details自然languageprocessing
详细介绍自然languageprocessing basicconcepts, techniquesmethod and Application Scenarios, including词嵌入, languagemodel, 文本classification, 情感analysis, 机器翻译 and other content.
View Detailscomputer vision
介绍computer vision basicconcepts, coretechniques and applications领域, includinggraph像classification, 目标检测, graph像分割, 人脸识别, 物体跟踪 and other content.
View Details强化Learn
详细讲解强化Learn basic原理, corealgorithms and Application Scenarios, including马尔可夫决策过程, Q-learning, 策略梯度, 深度强化Learn and other content.
View DetailsAI/Artificial Intelligence伦理 and security
探讨AI/Artificial Intelligence发展带来 伦理issues, 社会影响 and securitychallenges, includingalgorithms偏见, privacy保护, 就业影响, AIsecurity and 监管 and other content.
View DetailsAI/Artificial Intelligenceapplicationscase
介绍AI/Artificial Intelligence in 各个领域 practicalapplicationscase, including医疗healthy, 金融service, 交通运输, 教育, 智能制造, 娱乐etc.行业 具体applications.
View DetailsAI/Artificial Intelligence发展趋势
analysisAI/Artificial Intelligence 发展现状, techniques趋势 and 未来方向, including big languagemodel, many 模态AI, 自主system, 脑机interfaces, etc.. before 沿techniques and 发展预测.
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