NLP实践TensorFlow打造聊天机器人笔记
9-12 构建解码器(1).ev447.2M9-11 构建单独的编码器cell(3).ev448.7M9-10 构建单独的编码器cell(2).ev444.1M9-1 基本流程介绍.ev458.5M8-9 batch_flow_bucket(1).ev443.6M8-8 batch_flow(3).ev481.6M8-7 batch_flow(2).ev431.7M8-6 batch_flow(1
9-12 构建解码器(1).ev447.2M9-11 构建单独的编码器cell(3).ev448.7M9-10 构建单独的编码器cell(2).ev444.1M9-1 基本流程介绍.ev458.5M8-9 batch_flow_bucket(1).ev443.6M8-8 batch_flow(3).ev481.6M8-7 batch_flow(2).ev431.7M8-6 batch_flow(1
9-12 构建解码器(1).ev4
47.2M
9-11 构建单独的编码器cell(3).ev4
48.7M
9-10 构建单独的编码器cell(2).ev4
44.1M
9-1 基本流程介绍.ev4
58.5M
8-9 batch_flow_bucket(1).ev4
43.6M
8-8 batch_flow(3).ev4
81.6M
8-7 batch_flow(2).ev4
31.7M
8-6 batch_flow(1).ev4
41.3M
8-5 数据操作 转换长度.ev4
43.1M
8-4 TensorFlow相关信息操作.ev4
29M
8-3 TensorFlow环境搭建.ev4
50.7M
8-2 线程处理(2).ev4
54.9M
8-13 batch_flow_bucket(5)测试.ev4
53.8M
8-12 batch_flow_bucket(4)生成虚假数据.ev4
72.3M
8-11 batch_flow_bucket(3).ev4
27.7M
8-10 batch_flow_bucket(2).ev4
50.3M
8-1 线程处理(1).ev4
52.1M
7-4 聊天机器人模型(2).ev4
43.7M
7-3 聊天机器人模型(1).ev4
57.4M
7-2 Seq2Seq模型(注意力机制).ev4
65.2M
7-1 Seq2Seq模型.ev4
62.2M
6-9 数据处理-训练语料问答对的处理(1).ev4
47.8M
6-8 数据处理-训练语料库的解压处理.ev4
53.1M
6-7 数据处理-句子编码化处理(句子和向量之间的转换).ev4
59.9M
6-6 数据处理-句子编码化处理(训练字典).ev4
57.6M
6-5 数据处理-句子编码化处理(字典定义及转换).ev4
保存下载66.1M