慕课：NLP 实践 TensorFlow 打造聊天机器人

chapter07.chat_robot [589.12M]

说明

chatbot.pkl [455.29M]

data_utils.py [6.88K]

dgk_shooter_min.conv [133.69M]

extract_conv.py [3.04K]

fake_data.py [1.43K]

params.json [0.25K]

seq_to_seq.py [30.46K]

test.py [1.54K]

thread_generator.py [1.76K]

train.py [2.90K]

word_sequence.py [3.46K]

wx.pkl [92.49K]

资料 [645.31K]

coding-267-master.zip [645.31K]

10-1 第一种模型训练（1）.ev4 [32.91M]

10-2 第一种模型训练（2）.ev4 [77.68M]

10-3 第一种模型训练（3）.ev4 [65.60M]

10-4 第一种模型训练（4）.ev4 [81.39M]

10-5 第一种模型训练（5）.ev4 [138.34M]

10-6 第二种模型训练（1）.ev4 [66.42M]

10-7 第二种模型训练（2）.ev4 [66.62M]

10-8 第二种模型训练（3）.ev4 [30.45M]

10-9 利用flask发布成webservice接口.ev4 [85.89M]

1-1 课程导学.ev4 [72.67M]

11-1 新建项目.ev4 [43.55M]

11-10 打包发布.ev4 [40.71M]

11-2 代码结构讲解.ev4 [103.96M]

11-3 私有变量的定义.ev4 [67.90M]

11-4 参数初始化.ev4 [64.12M]

11-5 听写ui监听器.ev4 [107.40M]

11-6 合成回调监听器.ev4 [33.54M]

11-7 听写监听器.ev4 [149.58M]

11-8 语音合成参数设置.ev4 [49.61M]

11-9 完善项目.ev4 [114.97M]

2-1 什么是tensorflow.ev4 [61.19M]

2-2 张量、图、会话.ev4 [35.43M]

2-3 tensorflow原理及模型训练.ev4 [49.87M]

2-4 android操作系统.ev4 [100.44M]

2-5 java安装【更多it好课：】.ev4 [100.08M]

2-6 java环境搭建【更多it好课：】.ev4 [15.13M]

2-7 android安装及运行.ev4 [56.49M]

2-8 第一个android程序.ev4 [30.83M]

3-1 常用模型.ev4 [69.67M]

3-2 bp神经网络.ev4 [59.00M]

3-3 循环神经网络（1）.ev4 [45.46M]

3-4 循环神经网络（2）.ev4 [31.64M]

3-5 循环神经网络（双向rnn）.ev4 [50.82M]

3-6 循环神经网络（梯度爆炸和梯度消失1）.ev4 [57.30M]

3-7 循环神经网络（梯度爆炸和梯度消失2）.ev4 [33.80M]

3-8 长短期记忆网络（lstm）.ev4 [48.76M]

4-1 nlp基础.ev4 [30.24M]

4-10 朴素贝叶斯例子（2）.ev4 [86.99M]

4-11 朴素贝叶斯例子（3）.ev4 [63.57M]

4-2 分词技术.ev4 [31.48M]

4-3 词性标注.ev4 [65.27M]

4-4 命名实体识别.ev4 [38.22M]

4-5 贝叶斯与朴素贝叶斯（1）.ev4 [42.00M]

4-6 贝叶斯与朴素贝叶斯（2）.ev4 [49.58M]

4-7 隐马尔科夫模型.ev4 [83.80M]

4-8 隐马尔科夫模型实现命名实体识别.ev4 [42.51M]

4-9 朴素贝叶斯例子（1）.ev4 [96.87M]

5-1 语料的获取与处理.ev4 [170.48M]

5-2 nlp中的语言模型.ev4 [19.20M]

5-3 nlp中的语言模型 一元模型和二元模型.ev4 [47.13M]

5-4 nlp中的语言模型 n元模型.ev4 [15.14M]

5-5 词向量与word2vec.ev4 [46.30M]

5-6 文本处理方法.ev4 [67.23M]

6-1 数据处理-环境搭建.ev4 [55.95M]

6-10 数据处理-训练语料问答对的处理（2）.ev4 [40.63M]

6-11 数据处理-数据模型打包处理.ev4 [48.68M]

6-12 语料处理实战小结.ev4 [63.75M]

6-2 聊天机器人语料处理流程介绍.ev4 [26.62M]

6-3 数据处理-句子的构造和判断.ev4 [38.84M]

6-4 数据处理-正则表达式.ev4 [38.84M]

6-5 数据处理-句子编码化处理（字典定义及转换）.ev4 [66.14M]

6-6 数据处理-句子编码化处理（训练字典）.ev4 [57.64M]

6-7 数据处理-句子编码化处理（句子和向量之间的转换）.ev4 [59.87M]

6-8 数据处理-训练语料库的解压处理.ev4 [53.10M]

6-9 数据处理-训练语料问答对的处理（1）.ev4 [47.83M]

7-1 seq2seq模型.ev4 [62.21M]

7-2 seq2seq模型(注意力机制).ev4 [65.19M]

7-3 聊天机器人模型（1）.ev4 [57.39M]

7-4 聊天机器人模型（2）.ev4 [43.71M]

8-1 线程处理（1）.ev4 [52.06M]

8-10 batch_flow_bucket（2）.ev4 [50.32M]

8-11 batch_flow_bucket（3）.ev4 [27.68M]

8-12 batch_flow_bucket（4）生成虚假数据.ev4 [72.33M]

8-13 batch_flow_bucket（5）测试.ev4 [53.76M]

8-2 线程处理（2）.ev4 [54.85M]

8-3 tensorflow环境搭建.ev4 [50.66M]

8-4 tensorflow相关信息操作.ev4 [29.04M]

8-5 数据操作 转换长度.ev4 [43.15M]

8-6 batch_flow（1）.ev4 [41.29M]

8-7 batch_flow（2）.ev4 [31.73M]

8-8 batch_flow（3）.ev4 [81.63M]

8-9 batch_flow_bucket（1）.ev4 [43.61M]

9-1 基本流程介绍.ev4 [58.45M]

9-10 构建单独的编码器cell（2）.ev4 [44.10M]

9-11 构建单独的编码器cell（3）.ev4 [48.66M]

9-12 构建解码器（1）.ev4 [47.20M]

9-13 构建解码器（2）.ev4 [51.23M]

9-14 构建解码器（3）.ev4 [42.65M]

9-15 构建解码器（4）.ev4 [52.02M]

9-16 构建解码器（5）.ev4 [59.56M]

9-17 构建解码器（6）.ev4 [53.37M]

9-18 构建解码器（7）.ev4 [81.92M]

9-19 构建解码器（8）.ev4 [94.33M]

9-2 基本参数保存，参数验证（1）.ev4 [50.16M]

9-20 构建优化器（1）.ev4 [55.26M]

9-21 构建优化器（2）.ev4 [48.48M]

9-22 构建优化器（3）.ev4 [33.80M]

9-23 输入检查.ev4 [65.71M]

9-24 训练模型.ev4 [65.92M]

9-25 预测模型.ev4 [41.44M]

9-3 基本参数保存，参数验证（2）.ev4 [49.99M]

9-4 基本参数保存，参数验证（3）.ev4 [47.64M]

9-5 基本参数保存，参数验证（4）.ev4 [28.74M]

9-6 构建模型（1）.ev4 [37.11M]

9-7 构建模型（2）.ev4 [48.29M]

9-8 构建一个单独的rnn cell.ev4 [36.76M]

9-9 构建单独的编码器cell（1）.ev4 [48.52M]