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""" | |
DyNet implementation of a sequence labeler (POS taggger). | |
This is a translation of this tagger in PyTorch: https://gist.github.com/hal3/8c170c4400576eb8d0a8bd94ab231232 | |
Basic architecture: | |
- take words | |
- run though bidirectional GRU | |
- predict labels one word at a time (left to right), using a recurrent neural network "decoder" | |
The decoder updates hidden state based on: | |
- most recent word |
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""" | |
PyTorch implementation of a sequence labeler (POS taggger). | |
Basic architecture: | |
- take words | |
- run though bidirectional GRU | |
- predict labels one word at a time (left to right), using a recurrent neural network "decoder" | |
The decoder updates hidden state based on: | |
- most recent word |
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import weather | |
import smtp | |
''' | |
Send a greeting email to our customer email list | |
with the daily weather forecast and schedule | |
''' | |
def get_emails(): | |
# Reading emails from a file |
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using System; | |
using System.IO; | |
using System.Threading; | |
using UnityEngine; | |
public class OurMono : MonoBehaviour | |
{ | |
StreamWriter log; | |
Timer t; |
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// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |