CS224N Lecture1 筆記
02-12
Lecuture1
主要內容:What is NLP? What are the different levels and applications of NLP?
What is deep learning? Why should we learn it?
Why is NLP hard?
How is everything represented in Deep NLP?
內容比較入門,和講故事一樣,沒什麼太難的知識點
教授提示大家需要複習一下python基礎、概率論基礎和線性代數基礎
筆記:
推薦一個網站:http://Translator.microsoft.com/neural 輸入任何text,可以對比神經網路翻譯和 基於統計的差別,發現真的進步極大
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