001 numpy | Arrays
numpy  
002 numpy | Array indexing
numpy  
019 tensorflow | TimeDistributed
nlp   tensorflow   dnn  
001 项目实战 | 文本分类
tensorflow   nlp  
001 scipy | scipy.sparse.csr_matrix
scipy   python  
003 numpy | np.where
numpy  
004 numpy | 理解axis
numpy  
scala FTRL 实现
ftrl  
001 scala | Option
scala  
001 NLP | Query分析
nlp  
005 numpy | ndarray
numpy  
006 numpy | np.arange
numpy  
007 numpy | matrix product
numpy  
008 numpy | Indexing, Slicing and Iterating
numpy  
000 numpy | Quickstart tutorial
numpy  
014 tensorflow | tf.transpose
tensorflow  
015 tensorflow | Lambda
tensorflow  
tensorflow 损失不变
tensorflow  
016 tensorflow | 带masking的meanpooling
tensorflow  
009 numpy | numpy.argsort
numpy  
python 发送请求时带HEAD信息，伪装成浏览器
python  
python wordemb
python  
017 tensorflow | decode libsvm 解析libsvm格式文件
tensorflow  
004 pandas | read_csv 跳过错误解析行
pandas  
021 tensorflow | sparse_categorical_crossentropy
tensorflow  
001 BERT实战 | 数据下载
nlp   dnn   bert  
023 tensorflow | 保存和恢复
tensorflow  
python pickle 保存和恢复对象
python  
python CPU利用率控制
python  
keras 零散笔记
keras  
003 pandas | fillna | Handle missing data
pandas  
001 kaggle | find constant columns
kaggle  
002 kaggle | date ymd preprocess
kaggle  
003 kaggle | submit result
kaggle  
《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》论文阅读笔记
paper  
012 tensorflow | Custom training: basics | Fitting a linear model
tensorflow  
013 tensorflow | Custom layers | tf.keras.layers
tensorflow  
002 pandas json_normalize
pandas  
001 pandas | loc and iloc
pandas  
001 sklearn | roc_auc_score | cal auc
sklearn  
001 DNN dropout
DNN  
009 tensorflow 输入流水线 input-pipeline
tensorflow  
011 tensorflow Supervisor
tensorflow  
tensorflow 函数 random_uniform
tensorflow  
tensorflow 示例代码
tensorflow  
互联网金融产品指标
产品  
N-Gram Similarity and Distance 相似计算
nlp  
《Click-Through Prediction for News Queries》论文阅读笔记
论文   paper  
005 tensorflow Embeddings
tensorflow  
tensorflow tf.cond
tensorflow