January 2018
Beginner to intermediate
284 pages
8h 35m
English
Content preview from Deep Learning Essentials
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Skip-Gram model
We now focus on an important model architecture in Word2Vec, the Skip-Gram model. As described in the beginning of this section, the Skip-Gram model predicts the context word given the input target word. The word embedding we want is in fact the weight matrix between the input layer and the hidden layer. Next, we explain the Skip-Gram model in details.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.