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text-classification-cnn 使用卷积神经网络(CNN)处理自然语言处理(NLP)中的文本分类问题。本文将结合TensorFlow代码介绍: 词嵌入 填充 Embedding 卷积层 卷积(tf.nn.conv1d) 池化(pooling) 全连接层 dropout 输出层 softmax 文件测试 键盘输入测试 网络结构与解释 网络的主体结构如下如所示: 代码的详细流程图...
# -*- coding:utf-8 -*-importtensorflowastfimportnumpyasnpfromtensorflowimportVariable#定义网络的结构classTextCNN(object):"""A CNN for text classification.Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer."""sequence_length 句子固定长度(不足补全,超过截断)num_cl...
TextCNN论文作者原版,使用Theano框架,地址:https://github.com/yoonkim/CNN_sentence Tensorflow版,地址:https://github.com/dennybritz/cnn-text-classification-tf Torch版,来自Harvard NLP,地址:https://github.com/harvardnlp/sent-conv-torch,lua语言
1. textCNN细节解释: 2. textCNN训练预测版本: 3. github tensorflow base版本:https://github.com/dennybritz/cnn-text-classification-tf/blob/master/text_cnn.py 4. 完整tensorflow 版本:https://github.com/brightmart/text_classification/tree/master/a02_TextCNN...
self.W_text = tf.Variable(tf.random_uniform([vocab_size, word_embedding_size], -1.0, 1.0), name="W_text") self.embedded_chars = tf.nn.embedding_lookup(self.W_text, self.input_text) # Bidirectional(Left&Right) Recurrent Structure ...
TextCNN 是利用卷积神经网络对文本进行分类的算法,由 Yoon Kim 在“Convolutional Neural Networks for Sentence Classification” 一文 (见参考[1]) 中提出. 2 1 0 master 比较 HTTPS ZIPTAR.GZ figpudding82bd6ed8df 上传文件至 ''7 个月前 .idea ...
二、一步一步带你实现简单的TextCNN 代码使用dennybritz实现的[Github]cnn-text-classification-tf,下面将对其代码内容进行详解 TEXTCNN类 TextCNN类的初始化方法如下: class TextCNN(object): def __init__(self,sequence_length, num_classes, vocab_size, ...
代码也可以在我的git上查看,git地址:https://github.com/marchmc/deep_learning/tree/master/main/textcnn textcnn原理啥的就不介绍了,百度google一查一堆哈。 直接上代码。 textcnn结构的代码如下: import tensorflow as tf import numpy as np class TextCNN(object): ...