July 2018
Beginner to intermediate
312 pages
8h 31m
English
Content preview from Hands-On Natural Language Processing with Python
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Attention RNN
As described previously, the attention RNN is a simple, 1-layer GRU. It contains 256 units, as defined in the paper. Defining a function for it looks like overkill, but it allows for better readability, especially since we have already described the architecture with the terminology used in the paper:
def get_attention_RNN(): return GRU(256)
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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.