RJ Studio’s 102nd video is introducing Tensorflow’s Word Embedding / Embedding Layer in Python. ✨
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Embedding layers are used very frequently when we need a neural network model to learn word vectors.
Word embeddings are learnt by the Embedding Layers.
A lot of explanation in this video is from a book titled,
“Deep Learning with Python“ (Chapter 6)
Please check my GitHub for code:
Python logo in the thumbnail is from
☆ Video Chapters ☆
0:00 Intro
0:47 IMDB Movie Data
1:52 Preprocessing
2:20 Embedding Layer
3:27 Compile & Fit
4:00 Visualize Fit Result
4:43 Outro
I am playing the background music. ^‿^
Check out my Music 🎵 YouTube channel:
Hope my video taught you something new!
And feel free to correct me if I made some mistakes in the comments :)
이번 비디오는 단어/워드 임베딩(Word Embedding)을 필요로 하는 신경망 모델을 학습시켜보는 영상입니다. ≧◡≦
워드 임베딩이란 컴퓨터가 텍스트 데이터를 잘 이해할수 있도록 단어들을 벡터화 시키는 절차라고 생각하시면 좋을 것 같습니다.
유익한 정보이길 바랄게요~ 감사합니다.
“In teaching others, we teach ourselves.”
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6 days ago 00:10:20 1
Кодинг стал ИЗИ после этого открытия! Вот как я это сделал!