shibing624 / Python Tutorial
Licence: apache-2.0
python教程，包括：python基础、python进阶；常用机器学习库：numpy、scipy、sklearn、xgboost；深度学习库：keras、tensorflow、paddle、pytorch。
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python-tutorial-exercise
python教程，包括：python基础、numpy、scipy、python进阶、matplotlib、OOP、tensorflow、keras、pandas、NLP analysis.
07keras
- bAbi: 阅读理解任务
- 记忆网络（memory network）实现阅读理解任务
- RNN网络实现
- keras 应用
- 01.base: 认识keras变量
- 02mlp_multi_classification: 多层感知器多分类深度网络
- 03mlp_binary_classification: 多层感知器二分类深度网络
- 04vgg_conv: VGG，图像经典卷积网络结构
- 05lstm_classification: LSTM分类网络
- 06sequential: 序列模型，模型保存
- 07shared_lstm: 模型参数共享
- 08imdb_fasttext: fasttext网络结构实现二分类
- 09fasttext_multi_classification: fasttext的深度网络结构实现多分类
- 10seq2seq: 法语到英语的翻译任务，seq2seq模型
- 11lstm_text_generation: LSTM模型实现文本生成任务
- 12rnn_num_add: RNN网络学习三位数以内的加法运算
- 13rnn_num_multiplication: RNN网络学习三位数以内的乘法运算
19xgboost
文本特征分类
lr.py lr 文本分类
xgb.py xgboost 文本分类
xgb_lr.py xgboost 提取特征之间的关系，再用lr文本分类
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