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文件 时间 大小 操作
chapter07.chat_robot 2022-09-03 10:09:14    
资料 2022-09-03 10:09:14    
1-1 课程导学.ev4 2022-09-03 10:09:14 72.67 MB
10-1 第一种模型训练(1).ev4 2022-09-03 10:09:14 32.91 MB
10-2 第一种模型训练(2).ev4 2022-09-03 10:09:14 77.68 MB
10-3 第一种模型训练(3).ev4 2022-09-03 10:09:14 65.6 MB
10-4 第一种模型训练(4).ev4 2022-09-03 10:09:14 81.39 MB
10-5 第一种模型训练(5).ev4 2022-09-03 10:09:14 138.34 MB
10-6 第二种模型训练(1).ev4 2022-09-03 10:09:14 66.42 MB
10-7 第二种模型训练(2).ev4 2022-09-03 10:09:14 66.62 MB
10-8 第二种模型训练(3).ev4 2022-09-03 10:09:14 30.45 MB
10-9 利用flask发布成Webservice接口.ev4 2022-09-03 10:09:14 85.89 MB
11-1 新建项目.ev4 2022-09-03 10:09:14 43.55 MB
11-10 打包发布.ev4 2022-09-03 10:09:14 40.71 MB
11-2 代码结构讲解.ev4 2022-09-03 10:09:14 103.96 MB
11-3 私有变量的定义.ev4 2022-09-03 10:09:14 67.9 MB
11-4 参数初始化.ev4 2022-09-03 10:09:14 64.12 MB
11-5 听写UI监听器.ev4 2022-09-03 10:09:14 107.4 MB
11-6 合成回调监听器.ev4 2022-09-03 10:09:14 33.54 MB
11-7 听写监听器.ev4 2022-09-03 10:09:14 149.58 MB
11-8 语音合成参数设置.ev4 2022-09-03 10:09:14 49.61 MB
11-9 完善项目.ev4 2022-09-03 10:09:14 114.97 MB
2-1 什么是TensorFlow.ev4 2022-09-03 10:09:14 61.19 MB
2-2 张量、图、会话.ev4 2022-09-03 10:09:14 35.43 MB
2-3 TensorFlow原理及模型训练.ev4 2022-09-03 10:09:14 49.87 MB
2-4 Android操作系统.ev4 2022-09-03 10:09:14 100.44 MB
2-5 Java安装【更多IT好课+薇信:657112023】.ev4 2022-09-03 10:09:14 100.08 MB
2-6 Java环境搭建【更多IT好课+薇信:657112023】.ev4 2022-09-03 10:09:14 15.13 MB
2-7 Android安装及运行.ev4 2022-09-03 10:09:14 56.49 MB
2-8 第一个Android程序.ev4 2022-09-03 10:09:14 30.83 MB
3-1 常用模型.ev4 2022-09-03 10:09:14 69.67 MB
3-2 BP神经网络.ev4 2022-09-03 10:09:14 59 MB
3-3 循环神经网络(1).ev4 2022-09-03 10:09:14 45.46 MB
3-4 循环神经网络(2).ev4 2022-09-03 10:09:14 31.64 MB
3-5 循环神经网络(双向RNN).ev4 2022-09-03 10:09:14 50.82 MB
3-6 循环神经网络(梯度爆炸和梯度消失1).ev4 2022-09-03 10:09:14 57.3 MB
3-7 循环神经网络(梯度爆炸和梯度消失2).ev4 2022-09-03 10:09:14 33.8 MB
3-8 长短期记忆网络(LSTM).ev4 2022-09-03 10:09:14 48.76 MB
4-1 NLP基础.ev4 2022-09-03 10:09:14 30.24 MB
4-10 朴素贝叶斯例子(2).ev4 2022-09-03 10:09:14 86.99 MB
4-11 朴素贝叶斯例子(3).ev4 2022-09-03 10:09:14 63.57 MB
4-2 分词技术.ev4 2022-09-03 10:09:14 31.48 MB
4-3 词性标注.ev4 2022-09-03 10:09:14 65.27 MB
4-4 命名实体识别.ev4 2022-09-03 10:09:14 38.22 MB
4-5 贝叶斯与朴素贝叶斯(1).ev4 2022-09-03 10:09:14 42 MB
4-6 贝叶斯与朴素贝叶斯(2).ev4 2022-09-03 10:09:14 49.58 MB
4-7 隐马尔科夫模型.ev4 2022-09-03 10:09:14 83.8 MB
4-8 隐马尔科夫模型实现命名实体识别.ev4 2022-09-03 10:09:14 42.51 MB
4-9 朴素贝叶斯例子(1).ev4 2022-09-03 10:09:14 96.87 MB
5-1 语料的获取与处理.ev4 2022-09-03 10:09:14 170.48 MB
5-2 NLP中的语言模型.ev4 2022-09-03 10:09:14 19.2 MB
5-3 NLP中的语言模型 一元模型和二元模型.ev4 2022-09-03 10:09:14 47.13 MB
5-4 NLP中的语言模型 N元模型.ev4 2022-09-03 10:09:14 15.14 MB
5-5 词向量与Word2vec.ev4 2022-09-03 10:09:14 46.3 MB
5-6 文本处理方法.ev4 2022-09-03 10:09:14 67.23 MB
6-1 数据处理-环境搭建.ev4 2022-09-03 10:09:14 55.95 MB
6-10 数据处理-训练语料问答对的处理(2).ev4 2022-09-03 10:09:14 40.63 MB
6-11 数据处理-数据模型打包处理.ev4 2022-09-03 10:09:14 48.68 MB
6-12 语料处理实战小结.ev4 2022-09-03 10:09:14 63.75 MB
6-2 聊天机器人语料处理流程介绍.ev4 2022-09-03 10:09:14 26.62 MB
6-3 数据处理-句子的构造和判断.ev4 2022-09-03 10:09:14 38.84 MB
6-4 数据处理-正则表达式.ev4 2022-09-03 10:09:14 38.84 MB
6-5 数据处理-句子编码化处理(字典定义及转换).ev4 2022-09-03 10:09:14 66.14 MB
6-6 数据处理-句子编码化处理(训练字典).ev4 2022-09-03 10:09:14 57.64 MB
6-7 数据处理-句子编码化处理(句子和向量之间的转换).ev4 2022-09-03 10:09:14 59.87 MB
6-8 数据处理-训练语料库的解压处理.ev4 2022-09-03 10:09:14 53.1 MB
6-9 数据处理-训练语料问答对的处理(1).ev4 2022-09-03 10:09:14 47.83 MB
7-1 Seq2Seq模型.ev4 2022-09-03 10:09:14 62.21 MB
7-2 Seq2Seq模型(注意力机制).ev4 2022-09-03 10:09:14 65.19 MB
7-3 聊天机器人模型(1).ev4 2022-09-03 10:09:14 57.39 MB
7-4 聊天机器人模型(2).ev4 2022-09-03 10:09:14 43.71 MB
8-1 线程处理(1).ev4 2022-09-03 10:09:14 52.06 MB
8-10 batch_flow_bucket(2).ev4 2022-09-03 10:09:14 50.32 MB
8-11 batch_flow_bucket(3).ev4 2022-09-03 10:09:14 27.68 MB
8-12 batch_flow_bucket(4)生成虚假数据.ev4 2022-09-03 10:09:14 72.33 MB
8-13 batch_flow_bucket(5)测试.ev4 2022-09-03 10:09:14 53.76 MB
8-2 线程处理(2).ev4 2022-09-03 10:09:14 54.85 MB
8-3 TensorFlow环境搭建.ev4 2022-09-03 10:09:14 50.66 MB
8-4 TensorFlow相关信息操作.ev4 2022-09-03 10:09:14 29.04 MB
8-5 数据操作 转换长度.ev4 2022-09-03 10:09:14 43.15 MB
8-6 batch_flow(1).ev4 2022-09-03 10:09:14 41.29 MB
8-7 batch_flow(2).ev4 2022-09-03 10:09:14 31.73 MB
8-8 batch_flow(3).ev4 2022-09-03 10:09:14 81.63 MB
8-9 batch_flow_bucket(1).ev4 2022-09-03 10:09:14 43.61 MB
9-1 基本流程介绍.ev4 2022-09-03 10:09:14 58.45 MB
9-10 构建单独的编码器cell(2).ev4 2022-09-03 10:09:14 44.1 MB
9-11 构建单独的编码器cell(3).ev4 2022-09-03 10:09:14 48.66 MB
9-12 构建解码器(1).ev4 2022-09-03 10:09:14 47.2 MB
9-13 构建解码器(2).ev4 2022-09-03 10:09:14 51.23 MB
9-14 构建解码器(3).ev4 2022-09-03 10:09:14 42.65 MB
9-15 构建解码器(4).ev4 2022-09-03 10:09:14 52.02 MB
9-16 构建解码器(5).ev4 2022-09-03 10:09:14 59.56 MB
9-17 构建解码器(6).ev4 2022-09-03 10:09:14 53.37 MB
9-18 构建解码器(7).ev4 2022-09-03 10:09:14 81.92 MB
9-19 构建解码器(8).ev4 2022-09-03 10:09:14 94.33 MB
9-2 基本参数保存,参数验证(1).ev4 2022-09-03 10:09:14 50.16 MB
9-20 构建优化器(1).ev4 2022-09-03 10:09:14 55.26 MB
9-21 构建优化器(2).ev4 2022-09-03 10:09:14 48.48 MB
9-22 构建优化器(3).ev4 2022-09-03 10:09:14 33.8 MB
9-23 输入检查.ev4 2022-09-03 10:09:14 65.71 MB
9-24 训练模型.ev4 2022-09-03 10:09:14 65.92 MB
9-25 预测模型.ev4 2022-09-03 10:09:14 41.44 MB
9-3 基本参数保存,参数验证(2).ev4 2022-09-03 10:09:14 49.99 MB
9-4 基本参数保存,参数验证(3).ev4 2022-09-03 10:09:14 47.64 MB
9-5 基本参数保存,参数验证(4).ev4 2022-09-03 10:09:14 28.74 MB
9-6 构建模型(1).ev4 2022-09-03 10:09:14 37.11 MB
9-7 构建模型(2).ev4 2022-09-03 10:09:14 48.29 MB
9-8 构建一个单独的RNN cell.ev4 2022-09-03 10:09:14 36.76 MB
9-9 构建单独的编码器cell(1).ev4 2022-09-03 10:09:14 48.52 MB