05 2021 档案

PyTorch实现断点继续训练
摘要：![PyTorch实现断点继续训练](https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247556102&idx=3&sn=5977564462ff8c0db99ea044bc4dd3d4&chksm=ec1cf1ffdb6b78e95a8dec57e001c1db091cba7ec95fb5da27a3fb98f4c857297293 阅读全文
posted @ 2021-05-14 22:21 douzujun 阅读(413) 评论(0) 推荐(0) 编辑
通过sklearn使用tf-idf提取英文关键词
摘要：Demo1 TfidfTransformer + CountVectorizer = TfidfVectorizer from sklearn.feature_extraction.text import TfidfVectorizer, TfidfTransformer corpus = [ 'T 阅读全文
posted @ 2021-05-13 16:51 douzujun 阅读(849) 评论(0) 推荐(0) 编辑
通过依存关系生成邻接矩阵
摘要：import spacy from tqdm import tqdm import numpy as np # In[8] def adj_dependcy_tree(argments, max_length=80): nlp = spacy.load('en') depend = [] depen 阅读全文
posted @ 2021-05-10 21:23 douzujun 阅读(476) 评论(0) 推荐(0) 编辑
nn.Parameter和F.linear的用法以及参数初始化方式
摘要：nn.Parameter和F.linear class TextRNN(nn.Module): def __init__(self, input_size = 768, hidden_size = 164, output_size = 768, n_layers = 1, dropout = 0.1 阅读全文
posted @ 2021-05-06 16:02 douzujun 阅读(4422) 评论(0) 推荐(0) 编辑

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