人工智能應用與實踐項目式教程
朱瓊瑤,李輝東,雷顯國
- 出版商: 電子工業
- 出版日期: 2026-02-01
- 定價: $359
- 售價: $358
- 語言: 簡體中文
- 頁數: 238
- ISBN: 7121522144
- ISBN-13: 9787121522147
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相關分類:
Natural Language Processing、語音辨識 Speech-recognition、Machine Learning
下單後立即進貨 (約4週~6週)
商品描述
本教材以項目任務驅動和活頁式設計為核心，緊密圍繞人工智能技術前沿，系統涵蓋自然語言處理、語音與圖像識別、機器學習、AIGC生成技術、具身智能及倫理治理等關鍵領域。項目內容跨專業應用融合，結合智能制造、醫療、金融等企業真實場景案例，依托定制化實驗平臺與低代碼工具，配套微課、實操手冊等數字化資源，支持理論與實踐深度融合。教材通過"問題引導—探索實踐—知識構建”流程，培養學生自主探究與解決多領域實際問題的能力，並融入人工智能倫理與社會責任思考，賦能高職學生成為智能時代所需的復合型技術技能人才。
目錄大綱
第1部分 認識人工智能 ··················································································.1
項目1 讓機器“學會”學習——深度學習與智能引擎 ······························································.3
任務1 尋找身邊的智能應用 ·························································································.3
任務2 回歸模型 ········································································································.5
任務3 分類模型 ········································································································11
任務4 聚類分析 ······································································································.19
任務5 交互式可視化人工神經網絡 ··············································································.24
項目2 讓機器“理解”文字——自然語言處理 ·····································································.30
任務1 短文本相似度分析 ··························································································.30
任務2 新聞文本分類 ································································································.35
任務3 新聞評論情感分析 ··························································································.40
項目3 讓機器“聽懂”聲音——語音識別與合成 ··································································.45
任務1 語音信號處理 ································································································.45
任務2 文本生成語音 ································································································.51
任務3 實時語音翻譯 ································································································.56
項目4 讓機器“看清”世界——計算機視覺 ········································································.61
任務1 目標檢測 ······································································································.61
任務2 圖像分類 ······································································································.67
任務3 圖像識別 ······································································································.77
項目5 讓機器“創作”內容——大語言模型與AIGC ·····························································.85
任務1 提示詞工程 ···································································································.85
任務2 AI 圖像生成 ··································································································.91
任務3 AI視頻理解 ··································································································.96
任務4 AI視頻生成 ·································································································.100
第2部分 人工智能應用 ···············································································.107
項目6 AI+智能辦公 ·····································································································.109
任務1 基於大模型快速生成思維導圖 ··········································································.109
任務2 辦公自動化與 PPT 自動生成 ·············································································.117
任務3 辦公自動化與 Excel 表格處理 ···········································································.125
任務4 辦公自動化與 Excel 圖表分析 ···········································································.135
項目7 AI+教育人文 ·····································································································.145
任務1 圖文創作 ·····································································································.145
任務2 試卷批改 ·····································································································.154
任務3 構建成語填空練習助手 ···················································································.159
任務4 創建教學教案生成器 ······················································································.167
項目8 AI+醫療健康 ·····································································································.178
任務1 基於機器學習的心臟病預測 ·············································································.178
任務2 基於深度學習的癌細胞與正常細胞的自動鑒別 ·····················································.188
任務3 構建醫療領域的知識圖譜 ················································································.196
任務4 基於本地知識庫的中醫藥知識問答助手 ······························································.201
第3部分 項目實踐 ·····················································································.213
項目9 中華美食制作助手 ······························································································.215
任務1 初始化智能體與角色設定 ················································································.216
任務2 打造智能體的核心能力——搭建菜譜生成工作流 ··················································.219
任務3 集成圖片生成與海報制作 ················································································.227
任務4 整體測試與發布分享——優化體驗並交付成果 ·····················································.234
