{"id":16799,"date":"2024-12-31T10:55:43","date_gmt":"2024-12-31T02:55:43","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=16799"},"modified":"2024-12-31T10:55:43","modified_gmt":"2024-12-31T02:55:43","slug":"hafu-cs197kecheng","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/hafu-cs197kecheng\/","title":{"rendered":"\u54c8\u4f5b CS197\u8bfe\u7a0b\uff1a\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u4f53\u9a8c (AI Research Experiences)PDF\u4e0b\u8f7d"},"content":{"rendered":"<p><strong>\u8bfe\u7a0b\u8bb2\u5e08:<\/strong>\u00a0Pranav Rajpurkar \u535a\u58eb (\u54c8\u4f5b\u5927\u5b66\u52a9\u7406\u6559\u6388)<\/p>\n<p><strong>\u8bfe\u7a0b\u6982\u8ff0:<\/strong>\u00a0\u672c\u8bfe\u7a0b\u5c06\u5e26\u60a8\u6df1\u5165\u4e86\u89e3\u524d\u6cbf\u7684AI\u5f00\u53d1\u5de5\u5177\uff0c\u5982PyTorch\u3001Lightning\u548cHugging Face\uff0c\u5e76\u4f7f\u7528VSCode\u3001Git\u548cConda\u4f18\u5316\u60a8\u7684\u5de5\u4f5c\u6d41\u7a0b\u3002\u60a8\u5c06\u5b66\u4e60\u5982\u4f55\u5229\u7528AWS\u548cColab\u7684\u4e91\u8ba1\u7b97\u80fd\u529b\uff0c\u4ee5\u95ea\u7535\u822c\u7684GPU\u52a0\u901f\u8bad\u7ec3\u5927\u89c4\u6a21\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u5c06\u638c\u63e1\u4f7f\u7528Weights and Biases\u7ba1\u7406\u5927\u91cf\u5b9e\u9a8c\u7684\u6700\u4f73\u5b9e\u8df5\u3002\u672c\u8bfe\u7a0b\u8fd8\u5c06\u6559\u60a8\u5982\u4f55\u7cfb\u7edf\u5730\u9605\u8bfb\u7814\u7a76\u8bba\u6587\uff0c\u4ea7\u751f\u65b0\u7684\u60f3\u6cd5\uff0c\u5e76\u5728\u5e7b\u706f\u7247\u6216\u8bba\u6587\u4e2d\u5c55\u793a\u5b83\u4eec\u3002\u60a8\u751a\u81f3\u53ef\u4ee5\u5b66\u4e60\u5230\u9876\u7ea7AI\u7814\u7a76\u4eba\u5458\u4f7f\u7528\u7684\u5b9d\u8d35\u9879\u76ee\u7ba1\u7406\u548c\u56e2\u961f\u6c9f\u901a\u6280\u5de7\u3002<\/p>\n<p><strong>\u8bfe\u7a0b\u76ee\u6807:<\/strong><\/p>\n<ul>\n<li><strong>\u638c\u63e1AI\u7814\u7a76\u4e2d\u5e38\u7528\u7684\u5de5\u5177\u548c\u6280\u672f\u3002<\/strong><\/li>\n<li><strong>\u80fd\u591f\u8fdb\u884c\u6587\u732e\u68c0\u7d22\u3001\u9605\u8bfb\u548c\u603b\u7ed3AI\u7814\u7a76\u8bba\u6587\u3002<\/strong><\/li>\n<li><strong>\u80fd\u591f\u4f7f\u7528\u5404\u79cd\u6846\u67b6\u548c\u5e93\u8fdb\u884c\u6a21\u578b\u5f00\u53d1\u3001\u8bad\u7ec3\u548c\u8bc4\u4f30\u3002<\/strong><\/li>\n<li><strong>\u80fd\u591f\u8fdb\u884c\u5b9e\u9a8c\u7ba1\u7406\u3001\u8d85\u53c2\u6570\u641c\u7d22\u548c\u6a21\u578b\u6027\u80fd\u6bd4\u8f83\u3002<\/strong><\/li>\n<li><strong>\u80fd\u591f\u4ea7\u751f\u3001\u8fed\u4ee3\u548c\u8bc4\u4f30\u7814\u7a76\u60f3\u6cd5\u3002<\/strong><\/li>\n<li><strong>\u80fd\u591f\u64b0\u5199\u548c\u7ec4\u7ec7\u7814\u7a76\u8bba\u6587\uff0c\u5236\u4f5c\u9ad8\u8d28\u91cf\u7684\u5e7b\u706f\u7247\u3002<\/strong><\/li>\n<li><strong>\u80fd\u591f\u6709\u6548\u5730\u8fdb\u884c\u56e2\u961f\u534f\u4f5c\u548c\u9879\u76ee\u7ba1\u7406\u3002<\/strong><\/li>\n<\/ul>\n<p><strong>\u8bfe\u7a0b\u76ee\u5f55:<\/strong><\/p>\n<p><strong>I. \u8bfe\u7a0b\u4ecb\u7ecd\u4e0e\u57fa\u7840 (Chapters 1-2, 59\u9875)<\/strong><\/p>\n<ul>\n<li><strong>\u7b2c1\u7ae0: You Complete My Sandwiches \u2013 Exciting Advances with AI Language Models (AI\u8bed\u8a00\u6a21\u578b\u7684\u6fc0\u52a8\u4eba\u5fc3\u7684\u8fdb\u5c55)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u4f7f\u7528\u96f6\u6837\u672c\u548c\u5c0f\u6837\u672c\u5b66\u4e60\u4e0e\u8bed\u8a00\u6a21\u578b\u4e92\u52a8\uff0c\u6d4b\u8bd5\u5176\u80fd\u529b\u3002<\/strong><\/li>\n<li><strong>\u4f7f\u7528GPT-3\u7684\u6587\u672c\u8865\u5168\u548cCodex\u7684\u4ee3\u7801\u751f\u6210\u80fd\u529b\u6784\u5efa\u7b80\u5355\u7684\u5e94\u7528\u7a0b\u5e8f\u3002<\/strong><\/li>\n<li><strong>\u4e86\u89e3\u8bed\u8a00\u6a21\u578b\u53ef\u80fd\u53cd\u6620\u793e\u4f1a\u504f\u89c1\u7684\u6709\u5bb3\u503e\u5411\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 1 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7b2c2\u7ae0: The Zen of Python \u2013 Software Engineering Fundamentals (Python\u4e4b\u7985 &#8211; \u8f6f\u4ef6\u5de5\u7a0b\u57fa\u7840)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u4f7f\u7528VSCode\u7f16\u8f91\u5668\u6709\u6548\u5730\u7f16\u8f91Python\u4ee3\u7801\u5e93\u3002<\/strong><\/li>\n<li><strong>\u5728\u7f16\u7801\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u719f\u7ec3\u4f7f\u7528Git\u548cConda\u3002<\/strong><\/li>\n<li><strong>\u4f7f\u7528\u65ad\u70b9\u548c\u65e5\u5fd7\u70b9\u8fdb\u884c\u8c03\u8bd5\uff0c\u800c\u4e0d\u662fprint\u8bed\u53e5\u3002<\/strong><\/li>\n<li><strong>\u4f7f\u7528linting\u67e5\u627e\u9519\u8bef\u5e76\u6539\u8fdbPython\u4ee3\u7801\u98ce\u683c\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 2 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>II. \u6587\u732e\u9605\u8bfb\u4e0e\u6a21\u578b\u5fae\u8c03 (Chapters 3-4, 41\u9875)<\/strong><\/p>\n<ul>\n<li><strong>\u7b2c3\u7ae0: Shoulders of Giants \u2013 Reading AI Research Papers (\u7ad9\u5728\u5de8\u4eba\u7684\u80a9\u8180\u4e0a &#8211; \u9605\u8bfbAI\u7814\u7a76\u8bba\u6587)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u8fdb\u884c\u6587\u732e\u68c0\u7d22\u4ee5\u8bc6\u522b\u4e0e\u611f\u5174\u8da3\u4e3b\u9898\u76f8\u5173\u7684\u8bba\u6587\u3002<\/strong><\/li>\n<li><strong>\u9605\u8bfb\u673a\u5668\u5b66\u4e60\u7814\u7a76\u8bba\u6587\u5e76\u603b\u7ed3\u5176\u8d21\u732e\u3002<\/strong><\/li>\n<li><strong>\u603b\u7ed3\u67d0\u4e2a\u9886\u57df\u4ee5\u524d\u7684\u5de5\u4f5c\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 3 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7b2c4\u7ae0: In-Tune with Jazz Hands \u2013 Fine-tuning a Language Model using Hugging Face (\u4e0e\u7235\u58eb\u624b\u5171\u821e &#8211; \u4f7f\u7528Hugging Face\u5fae\u8c03\u8bed\u8a00\u6a21\u578b)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u4f7f\u7528datasets\u5e93\u52a0\u8f7d\u548c\u5904\u7406\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6570\u636e\u96c6\u3002<\/strong><\/li>\n<li><strong>\u5bf9\u6587\u672c\u5e8f\u5217\u8fdb\u884c\u5206\u8bcd\uff0c\u5e76\u7406\u89e3\u5206\u8bcd\u4e2d\u4f7f\u7528\u7684\u6b65\u9aa4\u3002<\/strong><\/li>\n<li><strong>\u4e3a\u56e0\u679c\u8bed\u8a00\u5efa\u6a21\u6784\u5efa\u6570\u636e\u96c6\u548c\u8bad\u7ec3\u6b65\u9aa4\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 4 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>III. PyTorch\u6df1\u5165\u4e0e\u89c6\u89c9Transformer (Chapters 5-7, 33\u9875)<\/strong><\/p>\n<ul>\n<li><strong>\u7b2c5\u7ae0: Lightning McTorch \u2013 Fine-tuning a Vision Transformer using Lightning (\u95ea\u7535McTorch &#8211; \u4f7f\u7528Lightning\u5fae\u8c03\u89c6\u89c9Transformer)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u4e0e\u4ee3\u7801\u4ea4\u4e92\u4ee5\u63a2\u7d22\u7528\u4e8e\u89c6\u89c9Transformer\u7684\u56fe\u50cf\u6570\u636e\u52a0\u8f7d\u548c\u6807\u8bb0\u5316\u3002<\/strong><\/li>\n<li><strong>\u89e3\u6790\u7528\u4e8e\u6784\u5efa\u89c6\u89c9Transformer\u7684PyTorch\u67b6\u6784\u548c\u6a21\u5757\u7684\u4ee3\u7801\u3002<\/strong><\/li>\n<li><strong>\u719f\u6089\u4f7f\u7528PyTorch Lightning\u7684\u793a\u4f8b\u8bad\u7ec3\u5de5\u4f5c\u6d41\u7a0b\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 5 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7b2c6-7\u7ae0: Moonwalking with PyTorch \u2013 Solidifying PyTorch Fundamentals (\u4e0ePyTorch\u4e00\u8d77\u592a\u7a7a\u6f2b\u6b65 &#8211; \u5de9\u56faPyTorch\u57fa\u7840)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u5728PyTorch\u4e2d\u6267\u884c\u5f20\u91cf\u64cd\u4f5c\u3002<\/strong><\/li>\n<li><strong>\u5728Autograd\u7684\u4e0a\u4e0b\u6587\u4e2d\u7406\u89e3\u795e\u7ecf\u7f51\u7edc\u7684\u6b63\u5411\u548c\u53cd\u5411\u4f20\u64ad\u3002<\/strong><\/li>\n<li><strong>\u68c0\u6d4bPyTorch\u8bad\u7ec3\u4ee3\u7801\u4e2d\u7684\u5e38\u89c1\u95ee\u9898\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 6 &amp; 7 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>IV. \u5b9e\u9a8c\u7ba1\u7406\u4e0e\u8d85\u53c2\u6570\u641c\u7d22 (Chapters 8-9, 22\u9875)<\/strong><\/p>\n<ul>\n<li><strong>\u7b2c8-9\u7ae0: Experiment Organization Sparks Joy \u2013 Organizing Model Training with Weights &amp; Biases and Hydra (\u5b9e\u9a8c\u7ec4\u7ec7\u6fc0\u53d1\u5feb\u4e50 &#8211; \u4f7f\u7528Weights &amp; Biases\u548cHydra\u7ec4\u7ec7\u6a21\u578b\u8bad\u7ec3)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u901a\u8fc7Weights &amp; Biases\u7ba1\u7406\u5b9e\u9a8c\u65e5\u5fd7\u8bb0\u5f55\u548c\u8ddf\u8e2a\u3002<\/strong><\/li>\n<li><strong>\u4f7f\u7528Weights &amp; Biases Sweeps\u6267\u884c\u8d85\u53c2\u6570\u641c\u7d22\u3002<\/strong><\/li>\n<li><strong>\u4f7f\u7528Hydra\u7ba1\u7406\u590d\u6742\u7684\u914d\u7f6e\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 8 &amp; 9 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>V. \u7814\u7a76\u601d\u8def\u4e0e\u8bba\u6587\u5199\u4f5c (Chapters 10-13, 23\u9875)<\/strong><\/p>\n<ul>\n<li><strong>\u7b2c10-11\u7ae0: I Dreamed a Dream \u2013 A Framework for Generating Research Ideas (\u6211\u6709\u4e00\u4e2a\u68a6\u60f3 &#8211; \u4ea7\u751f\u7814\u7a76\u60f3\u6cd5\u7684\u6846\u67b6)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u8bc6\u522b\u7814\u7a76\u8bba\u6587\u4e2d\u7684\u5dee\u8ddd\uff0c\u5305\u62ec\u7814\u7a76\u95ee\u9898\u3001\u5b9e\u9a8c\u8bbe\u7f6e\u548c\u7ed3\u679c\u3002<\/strong><\/li>\n<li><strong>\u4ea7\u751f\u57fa\u4e8e\u7814\u7a76\u8bba\u6587\u7684\u60f3\u6cd5\uff0c\u8003\u8651\u611f\u5174\u8da3\u7684\u4efb\u52a1\u3001\u8bc4\u4f30\u7b56\u7565\u548c\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u7684\u8981\u7d20\u3002<\/strong><\/li>\n<li><strong>\u8fed\u4ee3\u60a8\u7684\u60f3\u6cd5\u4ee5\u63d0\u9ad8\u5176\u8d28\u91cf\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 10 &amp; 11 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7b2c12-13\u7ae0: Today Was a Fairytale \u2013 Structuring a Research Paper (\u4eca\u5929\u662f\u7ae5\u8bdd\u6545\u4e8b &#8211; \u6784\u5efa\u7814\u7a76\u8bba\u6587)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u89e3\u6784\u7814\u7a76\u8bba\u6587\u7684\u5143\u7d20\u53ca\u5176\u987a\u5e8f\u3002<\/strong><\/li>\n<li><strong>\u8bb0\u5f55\u7814\u7a76\u8bba\u6587\u5199\u4f5c\u7684\u5168\u5c40\u7ed3\u6784\u548c\u5c40\u90e8\u7ed3\u6784\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 12 &amp; 13 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>VI. \u4e91\u7aef\u6df1\u5ea6\u5b66\u4e60\u4e0e\u6a21\u578b\u5fae\u8c03 (Chapters 14-17, 31\u9875)<\/strong><\/p>\n<ul>\n<li><strong>\u7b2c14-15\u7ae0: Deep Learning on Cloud Nine \u2013 AWS EC2 for Deep Learning: Setup, Optimization, and Hands-on Training with CheXzero (\u4e91\u7aef\u4e5d\u53f7\u6df1\u5ea6\u5b66\u4e60 &#8211; \u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684AWS EC2\uff1a\u8bbe\u7f6e\u3001\u4f18\u5316\u548c\u4f7f\u7528CheXzero\u8fdb\u884c\u5b9e\u8df5\u8bad\u7ec3)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u4e86\u89e3\u5982\u4f55\u8bbe\u7f6e\u548c\u8fde\u63a5\u5230\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684AWS EC2\u5b9e\u4f8b\u3002<\/strong><\/li>\n<li><strong>\u5b66\u4e60\u5982\u4f55\u4fee\u6539\u6df1\u5ea6\u5b66\u4e60\u4ee3\u7801\u4ee5\u4f7f\u7528GPU\u3002<\/strong><\/li>\n<li><strong>\u4f7f\u7528\u771f\u5b9e\u4ee3\u7801\u5e93\u83b7\u5f97\u8fd0\u884c\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u7684\u5b9e\u8df5\u7ecf\u9a8c\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 14 &amp; 15 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7b2c16-17\u7ae0: Make your dreams come tuned \u2013 Fine-Tuning Your Stable Diffusion Model (\u8ba9\u60a8\u7684\u68a6\u60f3\u6210\u771f &#8211; \u5fae\u8c03\u60a8\u7684Stable Diffusion\u6a21\u578b)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u4f7f\u7528Dreambooth\u6a21\u677f\u7b14\u8bb0\u672c\u521b\u5efa\u548c\u5fae\u8c03Stable Diffusion\u6a21\u578b\u3002<\/strong><\/li>\n<li><strong>\u4f7f\u7528AWS\u52a0\u901f\u4f7f\u7528GPU\u8bad\u7ec3Stable Diffusion\u6a21\u578b\u3002<\/strong><\/li>\n<li><strong>\u4f7f\u7528\u4e0d\u719f\u6089\u7684\u4ee3\u7801\u5e93\u548c\u65b0\u5de5\u5177\uff0c\u5305\u62ecDreambooth\u3001Colab\u3001Accelerate\u548cGradio\uff0c\u800c\u65e0\u9700\u6df1\u5165\u4e86\u89e3\u5b83\u4eec\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 16 &amp; 17 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>VII. \u79d1\u7814\u6548\u7387\u4e0e\u56e2\u961f\u534f\u4f5c (Chapters 18-19, 19\u9875)<\/strong><\/p>\n<ul>\n<li><strong>\u7b2c18\u7ae0: Research Productivity Power-Ups \u2013 Tips to Manage Your Time and Efforts (\u7814\u7a76\u6548\u7387\u63d0\u5347 &#8211; \u7ba1\u7406\u60a8\u7684\u65f6\u95f4\u548c\u7cbe\u529b\u7684\u6280\u5de7)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u5982\u4f55\u4f7f\u7528\u66f4\u65b0\u4f1a\u8bae\u548c\u5de5\u4f5c\u4f1a\u8bae\u6765\u4fdd\u6301\u4e00\u81f4\u5e76\u5728\u9879\u76ee\u4e0a\u53d6\u5f97\u8fdb\u5c55\u3002<\/strong><\/li>\n<li><strong>\u4e86\u89e3\u5982\u4f55\u4f7f\u7528\u5404\u79cd\u5de5\u5177\u548c\u6280\u672f\u6765\u6539\u8fdb\u56e2\u961f\u6c9f\u901a\u548c\u9879\u76ee\u7ec4\u7ec7\u3002<\/strong><\/li>\n<li><strong>\u5b66\u4e60\u7ec4\u7ec7\u9879\u76ee\u5de5\u4f5c\u7684\u7b56\u7565\uff0c\u8003\u8651\u9879\u76ee\u7684\u9636\u6bb5\u548c\u6240\u6d89\u53ca\u7684\u5404\u79cd\u4efb\u52a1\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 18 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7b2c19\u7ae0: The AI Ninja \u2013 Making Progress and Impact in AI Research (AI\u5fcd\u8005 &#8211; \u5728AI\u7814\u7a76\u4e2d\u53d6\u5f97\u8fdb\u5c55\u548c\u5f71\u54cd)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u5982\u4f55\u5728\u7814\u7a76\u4e2d\u53d6\u5f97\u7a33\u6b65\u8fdb\u5c55\uff0c\u5305\u62ec\u7ba1\u7406\u4e0e\u5bfc\u5e08\u7684\u5173\u7cfb\u548c\u53d1\u5c55\u6280\u80fd\u3002<\/strong><\/li>\n<li><strong>\u66f4\u6df1\u5165\u5730\u4e86\u89e3\u5982\u4f55\u63d0\u9ad8\u60a8\u5de5\u4f5c\u7684\u5f71\u54cd\u529b\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 19 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>VIII. \u5e7b\u706f\u7247\u5236\u4f5c\u4e0e\u7edf\u8ba1\u6d4b\u8bd5 (Chapters 20-21, 25\u9875)<\/strong><\/p>\n<ul>\n<li><strong>\u7b2c20\u7ae0: Bejeweled \u2013 Tips for Creating High-Quality Slides (\u73e0\u5149\u5b9d\u6c14 &#8211; \u521b\u5efa\u9ad8\u8d28\u91cf\u5e7b\u706f\u7247\u7684\u6280\u5de7)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u5e94\u7528\u65ad\u8a00-\u8bc1\u636e\u65b9\u6cd5\u7684\u5173\u952e\u539f\u5219\u6765\u521b\u5efa\u6709\u6548\u7684\u6f14\u8bb2\u5e7b\u706f\u7247\u3002<\/strong><\/li>\n<li><strong>\u8bc6\u522b\u5178\u578b\u5e7b\u706f\u7247\u6f14\u793a\u4e2d\u7684\u5e38\u89c1\u9677\u9631\u548c\u907f\u514d\u5b83\u4eec\u7684\u7b56\u7565\u3002<\/strong><\/li>\n<li><strong>\u5c06\u672c\u8bb2\u5ea7\u4e2d\u5b66\u5230\u7684\u6280\u672f\u5e94\u7528\u4e8e\u7814\u7a76\u6f14\u8bb2\u5e7b\u706f\u7247\u7684\u771f\u5b9e\u793a\u4f8b\uff0c\u4ee5\u63d0\u9ad8\u5176\u6709\u6548\u6027\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 20 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7b2c21\u7ae0: Model Showdown \u2013 Statistical Testing to Compare Model Performances (\u6a21\u578b\u5bf9\u51b3 &#8211; \u6bd4\u8f83\u6a21\u578b\u6027\u80fd\u7684\u7edf\u8ba1\u6d4b\u8bd5)<\/strong>\n<ul>\n<li><strong>\u5b66\u4e60\u76ee\u6807\uff1a<\/strong>\n<ul>\n<li><strong>\u4e86\u89e3\u53ef\u7528\u4e8e\u6bd4\u8f83\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u4e0d\u540c\u7edf\u8ba1\u6d4b\u8bd5\uff0c\u5305\u62ecMcNemar\u68c0\u9a8c\u3001\u914d\u5bf9t\u68c0\u9a8c\u548cbootstrap\u65b9\u6cd5\u3002<\/strong><\/li>\n<li><strong>\u80fd\u591f\u5728Python\u4e2d\u5b9e\u73b0\u8fd9\u4e9b\u7edf\u8ba1\u6d4b\u8bd5\uff0c\u4ee5\u8bc4\u4f30\u4e24\u4e2a\u6a21\u578b\u5728\u540c\u4e00\u6d4b\u8bd5\u96c6\u4e0a\u7684\u6027\u80fd\u3002<\/strong><\/li>\n<li><strong>\u80fd\u591f\u4e3a\u7ed9\u5b9a\u7684\u7814\u7a76\u95ee\u9898\u9009\u62e9\u9002\u5f53\u7684\u6d4b\u8bd5\uff0c\u5305\u62ec\u7edf\u8ba1\u4f18\u8d8a\u6027\u3001\u975e\u52a3\u6548\u6027\u548c\u7b49\u6548\u6027\u6d4b\u8bd5\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5bf9\u5e94\u7b14\u8bb0\uff1aHarvard CS197 Lecture 21 Notes<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>IX. \u4f5c\u4e1a (Assignments)<\/strong><\/p>\n<ul>\n<li><strong>Assignment 1: The Language of Code (\u4ee3\u7801\u7684\u8bed\u8a00)<\/strong><\/li>\n<li><strong>Assignment 2: First Dive in AI (AI\u521d\u63a2)<\/strong><\/li>\n<li><strong>Assignment 3: Torched (\u706b\u70ac)<\/strong><\/li>\n<li><strong>Assignment 4: Spark Joy (\u70b9\u71c3\u5feb\u4e50)<\/strong><\/li>\n<li><strong>Assignment 5: Ideation and Organization (\u6784\u601d\u548c\u7ec4\u7ec7)<\/strong><\/li>\n<li><strong>Assignment 6: Stable Diffusion and Research Operations (Stable Diffusion\u548c\u7814\u7a76\u64cd\u4f5c)<\/strong><\/li>\n<\/ul>\n<p><strong>X. \u8bfe\u7a0b\u9879\u76ee (Course Project)<\/strong><\/p>\n<ul>\n<li><strong>Project Details (\u9879\u76ee\u8be6\u60c5):<\/strong>\u00a0\u60a8\u5c06\u6784\u5efa\u4e00\u4e2a\u5c06\u4eba\u5de5\u667a\u80fd\u5e94\u7528\u4e8e\u533b\u5b66\u7684\u524d\u6cbf\u7814\u7a76\u9879\u76ee\u3002\u8bfe\u7a0b\u63d0\u4f9b\u4e86\u4e00\u4e2a\u660e\u786e\u5b9a\u4e49\u7684\u7814\u7a76\u65b9\u5411\uff0c\u8ba9\u60a8\u5236\u5b9a\u4e00\u4e2a\u7814\u7a76\u95ee\u9898\u5e76\u8fdb\u884c\u7aef\u5230\u7aef\u7684\u7814\u7a76\u3002\u60a8\u5c06\u5229\u7528\u5728\u8bfe\u5802\u4e0a\u5b66\u5230\u7684\u7814\u7a76\u5de5\u5177\u548c\u6280\u672f\u6280\u80fd\u6765\u5b8c\u6210\u8fd9\u4e2a\u9879\u76ee\u3002\u4ece\u8fd9\u4e2a\u6700\u7ec8\u9879\u76ee\u4e2d\uff0c\u60a8\u5c06\u83b7\u5f97\u5728\u533b\u5b66AI\u4e2d\u8fdb\u884c\u771f\u6b63\u7814\u7a76\u7684\u5b9d\u8d35\u7ecf\u9a8c\uff0c\u5e76\u5904\u7406\u4e00\u4e2a\u4ece\u6982\u5ff5\u5230\u5b8c\u6574\u624b\u7a3f\u7684\u9879\u76ee\u3002<\/li>\n<\/ul>\n<p><strong>XI. \u7ed3\u8bfe\u5bc4\u8bed (Congratulations)<\/strong><\/p>\n<p><strong>\u5e0c\u671b\u8fd9\u4efd\u5b66\u4e60\u76ee\u5f55\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9! \u795d\u60a8\u5b66\u4e60\u987a\u5229!<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u4e0b\u8f7d\u5730\u5740<\/strong><\/p>\n<p><div class=\"huoduan_hide_box\" style=\"border:1px dashed #F60; padding:10px; margin:10px 0; line-height:200%; color:#F00; background-color:#FFF4FF; overflow:hidden; clear:both;\"><img loading=\"lazy\" decoding=\"async\" class=\"wxpic\" align=\"right\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/d8668ed8023fbe2.jpg\" style=\"width:150px;height:150px;margin-left:20px;display:inline;border:none\" width=\"150\" height=\"150\"  alt=\"AI\u751f\u4ea7\u529b\u5e94\u7528\" \/><span style=\"font-size:18px;\">\u6b64\u5904\u5185\u5bb9\u5df2\u7ecf\u88ab\u4f5c\u8005\u9690\u85cf\uff0c\u8bf7\u8f93\u5165\u9a8c\u8bc1\u7801\u67e5\u770b\u5185\u5bb9<\/span><form method=\"post\" style=\"margin:10px 0;\"><span class=\"yzts\" style=\"font-size:18px;float:left;\">\u9a8c\u8bc1\u7801\uff1a<\/span><input name=\"huoduan_verifycode\" id=\"verifycode\" type=\"text\" value=\"\" style=\"border:none;float:left;width:80px; height:32px; line-height:30px; padding:0 5px; border:1px solid #FF6600;-moz-border-radius: 0px;  -webkit-border-radius: 0px;  border-radius:0px;\" \/><input id=\"verifybtn\" style=\"border:none;float:left;width:80px; height:32px; line-height:32px; padding:0 5px; background-color:#F60; text-align:center; border:none; cursor:pointer; color:#FFF;-moz-border-radius: 0px; font-size:14px;  -webkit-border-radius: 0px;  border-radius:0px;\" name=\"\" type=\"submit\" value=\"\u63d0\u4ea4\u67e5\u770b\" \/><\/form><div style=\"clear:left;\"><\/div><span style=\"color:#00BF30\">\u8bf7\u5173\u6ce8\u672c\u7ad9\u5fae\u4fe1\u516c\u4f17\u53f7\uff0c\u56de\u590d\u201c<span style=\"color:blue\">\u9a8c\u8bc1\u7801<\/span>\u201d\uff0c\u83b7\u53d6\u9a8c\u8bc1\u7801\u3002\u5728\u5fae\u4fe1\u91cc\u641c\u7d22\u201c<span style=\"color:blue\">AI\u751f\u4ea7\u529b\u5e94\u7528<\/span>\u201d\u6216\u8005\u201c<span style=\"color:blue\">Artificial9527<\/span>\u201d\u6216\u8005\u5fae\u4fe1\u626b\u63cf\u53f3\u4fa7\u4e8c\u7ef4\u7801\u90fd\u53ef\u4ee5\u5173\u6ce8\u672c\u7ad9\u5fae\u4fe1\u516c\u4f17\u53f7\u3002<\/span><div class=\"cl\"><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8bfe\u7a0b\u8bb2\u5e08:\u00a0Pranav Rajpurkar \u535a\u58eb (\u54c8\u4f5b\u5927\u5b66\u52a9\u7406\u6559\u6388) \u8bfe\u7a0b\u6982\u8ff0:\u00a0\u672c\u8bfe\u7a0b\u5c06\u5e26\u60a8\u6df1\u5165\u4e86\u89e3\u524d\u6cbf\u7684AI\u5f00\u53d1\u5de5\u5177\uff0c\u5982PyTorch\u3001Lightning\u548cHugging Face\uff0c\u5e76\u4f7f\u7528VSCode\u3001Git\u548cConda\u4f18\u5316\u60a8\u7684\u5de5\u4f5c&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"class_list":["post-16799","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/16799","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=16799"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/16799\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=16799"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=16799"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=16799"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}