3Blue1Brown \u7684\u9891\u9053\u4e0d\u8ffd\u6c42\u66f4\u65b0\u9891\u7387\u3002\u4ece 2015 \u5e74\u81f3\u4eca\uff0c\u4ed6\u53ea\u53d1\u5e03\u4e86\u7ea6 220 \u652f\u89c6\u9891\u2014\u2014\u5e73\u5747\u4e0d\u5230\u6bcf\u6708\u4e24\u652f\u3002\u4f46\u51e0\u4e4e\u6bcf\u4e00\u652f\u90fd\u662f\u7cbe\u54c1\u3002<\/p>\n
\u4ee5\u4e0b\u662f\u4ed6\u7684\u4e94\u5927\u738b\u724c\u7cfb\u5217\uff1a<\/p>\n
1. \u300a\u7ebf\u6027\u4ee3\u6570\u7684\u672c\u8d28\u300b\uff08Essence of Linear Algebra\uff09
\n16 \u96c6\uff0c\u7ea6 3 \u5c0f\u65f6
\n\u4ece\u5411\u91cf\u3001\u77e9\u9635\u5230\u884c\u5217\u5f0f\u3001\u7279\u5f81\u503c\uff0c\u5168\u7a0b\u52a8\u753b\u9a71\u52a8
\n\u88ab\u5168\u7403\u5927\u5b66\u5e7f\u6cdb\u63a8\u8350\u4e3a\u8f85\u52a9\u6559\u6750
\n\u5b66\u751f\u5728\u6e05\u534e\u3001MIT \u7684\u7ebf\u6027\u4ee3\u6570\u8bfe\u4e0a\u90fd\u6536\u5230\u8fc7\u6559\u6388\u7684\u63a8\u8350\u94fe\u63a5
\n\u4ed6\u7684\u6838\u5fc3\u7406\u5ff5\uff1a”\u6211\u4e0d\u8981\u4f60\u8bb0\u4f4f\u8ba1\u7b97\u6b65\u9aa4\u3002\u6211\u8981\u4f60’\u770b’\u5230\u7ebf\u6027\u53d8\u6362\u5728\u505a\u4ec0\u4e48\u3002”<\/p>\n
2. \u300a\u795e\u7ecf\u7f51\u7edc\u7684\u672c\u8d28\u300b\uff08Neural Networks\uff09
\n8 \u96c6\uff0c\u7ea6 2 \u5c0f\u65f6
\n\u5355\u96c6\u6700\u9ad8\u64ad\u653e\u91cf\uff1a\u300a\u795e\u7ecf\u7f51\u7edc\u662f\u4ec0\u4e48\u300b\u2014 2000 \u4e07\u6b21\u89c2\u770b
\n\u7b2c\u4e8c\u9ad8\uff1a\u300a\u68af\u5ea6\u4e0b\u964d\uff0c\u795e\u7ecf\u7f51\u7edc\u5982\u4f55\u5b66\u4e60\u300b\u2014 800 \u4e07\u6b21\u89c2\u770b
\n\u4e00\u4e2a\u6570\u5b66\u535a\u4e3b\u505a\u7684 AI \u5165\u95e8\u8bfe\uff0c\u6210\u4e86\u5f88\u591a\u4eba\u8fdb\u5165\u673a\u5668\u5b66\u4e60\u7684\u8d77\u70b9
\n\u8fd9\u4e2a\u7cfb\u5217\u6700\u5389\u5bb3\u7684\u5730\u65b9\u662f\uff1aGrant \u4e0d\u662f AI \u4e13\u5bb6\u3002\u4ed6\u5c31\u662f\u53bb\u8bfb\u4e86\u8bba\u6587\u3001\u641e\u61c2\u4e86\u539f\u7406\u3001\u518d\u7528\u52a8\u753b\u8bb2\u7ed9\u4f60\u542c\u3002\u8bc1\u660e\u4e86\u4e00\u4ef6\u4e8b\uff1a\u597d\u7684\u89e3\u91ca\u8005\u4e0d\u9700\u8981\u662f\u9886\u57df\u4e13\u5bb6\uff0c\u4f46\u5fc5\u987b\u662f\u9876\u7ea7\u7684\u5b66\u4e60\u8005\u548c\u7ffb\u8bd1\u8005\u3002<\/p>\n
3. \u300a\u5fae\u79ef\u5206\u7684\u672c\u8d28\u300b\uff08Essence of Calculus\uff09
\n12 \u96c6
\n\u4ece\u6781\u9650\u3001\u5bfc\u6570\u5230\u79ef\u5206\uff0c\u7528”\u5fae\u5c0f\u53d8\u5316”\u7684\u89c6\u89c9\u76f4\u89c9\u7406\u89e3\u5fae\u79ef\u5206
\n\u5355\u96c6\u300a\u5fae\u79ef\u5206\u7684\u672c\u8d28\u300b\u8d85 500 \u4e07\u6b21\u89c2\u770b
\n4. \u78b0\u649e\u5757\u8ba1\u7b97 \u03c0 \u7cfb\u5217
\n2019 \u5e74\u9996\u6b21\u53d1\u5e03\uff0c2025 \u5e74 \u03c0 \u65e5\uff083 \u6708 14 \u65e5\uff09\u63a8\u51fa\u7eed\u4f5c
\n\u6838\u5fc3\u8c1c\u9898\uff1a\u4e24\u4e2a\u6ed1\u52a8\u7684\u65b9\u5757\u78b0\u649e\u591a\u5c11\u6b21\uff0c\u5c45\u7136\u80fd\u7b97\u51fa \u03c0 \u7684\u5c0f\u6570\u4f4d\uff1f
\n2025 \u5e74\u7eed\u4f5c\u300a\u78b0\u649e\u5757\u8ba1\u7b97 \u03c0 \u7684\u66f4\u591a\u79d8\u5bc6\u300b\u2014 232 \u4e07\u6b21\u89c2\u770b
\n\u88ab\u5e7f\u6cdb\u8ba4\u4e3a\u662f”YouTube \u4e0a\u6700\u7f8e\u7684\u6570\u5b66\u89c6\u9891\u4e4b\u4e00”
\n\u4ed6\u9080\u8bf7\u4e86\u83f2\u5c14\u5179\u5956\u5f97\u4e3b\u9676\u54f2\u8f69\uff08Terence Tao\uff09\u5171\u540c\u521b\u4f5c\u76f8\u5173\u89c6\u9891
\n5. \u5168\u606f\u5f71\u50cf\u7cfb\u5217\uff082024\uff09
\n\u300a\u5168\u606f\u5f71\u50cf\u662f\u75af\u72c2\u7684\u300b\u300a\u5168\u606f\u5f71\u50cf\u5982\u4f55\u53ef\u80fd\uff1f\u300b\u2014 \u5404 180 \u4e07 + 110 \u4e07\u6b21\u89c2\u770b
\n\u7528\u5149\u5b66\u8c1c\u9898\u7684\u5f62\u5f0f\uff0c\u4e94\u96c6\u9010\u6b65\u89e3\u5f00\u5168\u606f\u5f71\u50cf\u7684\u7269\u7406\u539f\u7406<\/p>\n","protected":false},"excerpt":{"rendered":"
3Blue1Brown \u7684\u9891\u9053\u4e0d\u8ffd\u6c42\u66f4\u65b0\u9891\u7387\u3002\u4ece 2015 \u5e74\u81f3\u4eca\uff0c\u4ed6\u53ea\u53d1\u5e03\u4e86\u7ea6 220 \u652f\u89c6\u9891\u2014\u2014\u5e73\u5747\u4e0d\u5230\u6bcf […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-574","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/posts\/574","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/comments?post=574"}],"version-history":[{"count":1,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/posts\/574\/revisions"}],"predecessor-version":[{"id":575,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/posts\/574\/revisions\/575"}],"wp:attachment":[{"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/media?parent=574"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/categories?post=574"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.imageproc.cn\/index.php\/wp-json\/wp\/v2\/tags?post=574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}