RNN_임베딩

import torch import torch.nn as nn import torch.optim as optim sentence = "Repeat is the best medicine for memory".split() vocab = list(set(sentence)) print(vocab) word2index = {tkn: i for i, tkn in enumerate(vocab, 1)} # 단어에 고유한 정수 부여 word2index['']=0 print(word2index) print(word2index['memory']) # 수치화된 데이터를 단어로 바꾸기 위한 사전 index2word = {v: k for k, v in word2index.items()} print(index2word) print(index2word[2]) def build_data(sentence, word2index): encoded = [word2index[token] for token in ...