January 2019
Beginner to intermediate
576 pages
14h 31m
Chinese
Content preview from 深度學習｜內行人的做法
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附錄 A：什麼是人工智慧？
然後又發了一則推文（
http://bit.ly/2uz6vhF
）：
其中一部分的問題是，有些公司與記者很擅長誇大其詞，從而模糊了科幻與現
實之間的界限。因為這些說法人們會買單。
Chollet 又說，我們都應該「定義好」自己所談論的東西（
http://bit.ly/2u05jXA
）：
如果你要談論「人工智慧」，一定要先「定義好」你說的是什麼東西。明確說
清楚它可以做什麼、不能做什麼。不要與大腦進行類比。
這是個很合理的建議，這個行業如果想要發展得更好，一定要鎖定這些定義的做法。
人工智慧不是什麼。 那些號稱機器學習就是人工智慧的人，只會讓整個電腦科學產業
受到傷害。機器學習指的就只是「分類」與「迴歸」，絕不是那種可以解決市場行銷問
題、具有全知、自我感知能力的系統，那樣的系統只不過是人們一時的熱切期望而已。
就像 Francois Chollet 之前所提到的，不要與大腦進行類比，這反倒是最好的做法。
很多時候，人工智慧經常被炒作成一種可提供所有答案的應用。它並不是這樣的，至少
這種事不會很快發生。
不斷改變的目標。 把人腦隱喻成電腦的說法，心理學家們通常都會嗤之以鼻。Robert
Epstein 在 2016 年的一篇文章（
http://bit.ly/2tABWqX
）中寫道：
無論多麼努力，大腦科學家與認知心理學家都不可能在大腦中找到貝多芬的第
五交響曲，或是任何優美的文字、圖片、文法規則等等這些受環境刺激而來的
東西。
遺憾的是，當時 Epstein 博士還沒有看過像 ...
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