RNN_다대다

import torch import torch.nn as nn import torch.optim as optim import numpy as np input_str = 'apple' label_str = 'pple!' char_vocab = sorted(list(set(input_str+label_str))) vocab_size = len(char_vocab) print ('문자 집합의 크기 : {}'.format(vocab_size)) char_to_index = dict((c, i) for i, c in enumerate(char_vocab)) # 문자에 고유한 정수 인덱스 부여 print(char_to_index) index_to_char={} for key, value in char_to_index.items(): index_to_char[value] = key print(index_to_char) x_data = [char_to_index[c] for c in input_s...