Skip Thought Vectors | Quick Explained | Developers Hutt
About this lesson
Skip thought vectors is a technique to encode a sequence of words (n-size) to a fixed-length vector representation. This method is more efficient than word2vec as for a sentence it doesn't need to encode word by word which results in a multi-dimensional array. Let's see in the video about its architecture and working. I hope you like it. Please leave feedback if you don't. Thanks for watching. Timestamps: 0:00 Word 2 Vector 0:20 Problem with Word 2 Vector 0:56 Intro to Skip Thought Vectos 2:38 Teacher forcing method 3:58 Skip thought vectors
Original Description
Skip thought vectors is a technique to encode a sequence of words (n-size) to a fixed-length vector representation. This method is more efficient than word2vec as for a sentence it doesn't need to encode word by word which results in a multi-dimensional array.
Let's see in the video about its architecture and working.
I hope you like it. Please leave feedback if you don't.
Thanks for watching.
Timestamps:
0:00 Word 2 Vector
0:20 Problem with Word 2 Vector
0:56 Intro to Skip Thought Vectos
2:38 Teacher forcing method
3:58 Skip thought vectors
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Chapters (5)
Word 2 Vector
0:20
Problem with Word 2 Vector
0:56
Intro to Skip Thought Vectos
2:38
Teacher forcing method
3:58
Skip thought vectors
🎓
Tutor Explanation
DeepCamp AI