Coursera, Deep Learning 5, Sequence Models, week2, Natural Language Processing & Word Embeddings
Word embeding
給word 加feature，用來區分word 之間的不同，或者識別word之間的相似性.
因為t-SNE 做了non-liner 的轉化，所以在原來的3000維空間的平行的向量在轉化過後的2D空間裏基本上不會再平行.
看兩個向量的相似性，可以用cosine similarity.
Coursera, Deep Learning 5, Sequence Models, week2, Natural Language Processing & Word Embeddings
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