tf-estimator-tutorials:该存储库包含有关如何使用TensorFlow估计器API以系统化和标准化的方式执行...
需积分: 9 155 浏览量
2021-05-19
07:41:20
上传
评论
收藏 9.63MB ZIP 举报
tf-estimator-tutorials-master.zip （83个子文件） 
tf-estimator-tutorials-master 04 - Times Series 
00.0 - Generate Time Series Data.ipynb 280KB data test-data.csv 7KB timeseries-univariate.csv 8KB train-data.csv 16KB
timeseries-multivariate.txt 7KB 01.0 - TF ARRegressor - Estimator + Numpy.ipynb 617KB 02.0 - TF ARRegressor - Experiment + CSV.ipynb 739KB 03 - Clustering 02.0 - TF k-means - Estimator API.ipynb 277KB 01.0 - Generate Data Points + SKLearn Clustering.ipynb 909KB 03.0 - TF k-means - Experiment API.ipynb 268KB data test-data.csv 30KB new-data.csv 10B train-data.csv 92KB 00.0 - TensorFlow Version Update.ipynb 4KB 01 - Regression 07.0 - TF Regression Model - DNN Wide & Deep + estimator.train_and_evaluate.ipynb 95KB 06.0 - Convert CSV to TFRecords.ipynb 7KB -- TensorBoard.ipynb 1KB 04.0 - TF Regression Model - Dataset Input.ipynb 67KB 02.0 - TF Regression Model - Estimator APIs + Pandas.ipynb 27KB 01.0 - Regression Data Generation.ipynb 9KB data valid-data.tfrecords 308KB housingdata.csv 34KB test-data.csv 361KB test-data.tfrecords 513KB new-data.json 54B valid-data.csv 217KB new-data.csv 18B train-data.csv 868KB train-data.tfrecords 1.2MB 00.0 - TensorFlow Version Update.ipynb 4KB 05.0 - TF Regression Model - Custom Estimator.ipynb 71KB 04.0 - TF Regression Model - Dataset Input + JSON Serving.ipynb 68KB 03.0 - TF Regression Model - Experiment APIs + CSV Files.ipynb 39KB 08.0 - TF Regression Example - Housing Price Estimation + Features Scaling.ipynb 365KB images 
exp-api2.png 122KB 05 - Autoencoding 03.0 - Dimensionality Reduction - Autoencoding + Normalizer + XEntropy Loss.ipynb 230KB 02.0 - Dimensionality Reduction - Autoencoding + Custom Estimator.ipynb 298KB 04.0 - Dimensionality Reduction - Autoencoding + Custom Estimator with MNIST.ipynb 146KB 01.0 - Generate Dataset with High-Dimensionality.ipynb 266KB data data-01.csv 2.35MB 08 - Text Analysis 02 - Text Classification - SMS Ham vs. Spam - Document Embedding.ipynb 28KB 01 - Text Classification - SMS Ham vs. Spam - Data Preparation.ipynb 14KB 05 - Text Classification - Hacker News - End-to-End + TF-Hub Sentence Embedding.ipynb 132KB 06 - Part_1 - Text Classification - Hacker News - Data Preprocessing with TFT.ipynb 20KB 03 - Text Classification - SMS Ham vs. Spam - Word Embeddings + CNN.ipynb 28KB 06 - Part_2 - Text Classification - Hacker News - DNNClassifier with TF-Hub Sentence Embedding.ipynb 127KB 06 - Part_4 - Text Classification - Hacker News - DNNClassifier with TF.IDF.ipynb 26KB 06 - Part_3 - Text Classification - Hacker News - Custom Estimator Word Embedding.ipynb 29KB data sms-spam train-data.tsv 350KB n_words.tsv 5B valid-data.tsv 116KB vocab_list.tsv 85KB SMSSpamCollection 467KB 04 - Text Classification - SMS Ham vs. Spam - Word Embeddings + LSTM.ipynb 30KB 06 - Sequence Models 03 - RNN with LSTM - Sequence Classification.ipynb 628KB 01 - RNN with LSTM - Predicting the Next Values - Single Pattern.ipynb 386KB TODO.txt 115B 02 - RNN with LSTM - Predicting the Next Values - Multiple Patterns.ipynb 655KB data seq01.test.csv 23KB seq01.train.csv 237KB 02 - Classification 05.0 - Classification Example - Census Income Prediction.ipynb 72KB 04.0 - TF Classification Model - Custom Estimator + Experiment + Dataset + CSV.ipynb 75KB 02.0 - Convert CSV to TFRecords.ipynb 7KB -- TensorBoard.ipynb 2KB 03.0 - TF Classification Model - DNN Wide & Deep + Train_And_Evaluate + Dataset + TFRecords.ipynb 69KB 06.0 - Classification Example - Census Income Prediction - Custom Estimator + Exponential Decay Learning Rate.ipynb 70KB 01.0 - Classification Data Generation.ipynb 1.65MB data valid-data.tfrecords 319KB test-data.csv 313KB test-data.tfrecords 532KB adult.stats.csv 351B valid-data.csv 188KB adult.test.csv 1.68MB train-data.csv 751KB train-data.tfrecords 1.25MB adult.data.csv 3.36MB 00.0 - TensorFlow Version Update.ipynb 4KB README.md 3KB .gitignore 510B 07 - Image Analysis 03.0 - CNN Example with CIFAR-10 (Keras ver.).ipynb 46KB 01.0 - CNN Example with CIFAR-10 dataset.ipynb 32KB 00.0 - TensorFlow Version Update.ipynb 797B 02.0 - CNN Example with CIFAR-10 dataset using TFRecords.ipynb 31KB资源评论
log边缘
- 粉丝: 17
- 资源: 4605
最新资源
- 基于matlab实现图像处理，本程序使用背景差分法对来往车辆进行检测和跟踪.rar
- 基于matlab实现视频监控中车型识别代码，自己写的，希望和大家多多交流.rar
- sdk.config
- 基于matlab实现配电网三相潮流计算方法，对几种常用的配电网潮流计算方法进行了对比分析.rar
- 基于matlab实现配电网潮流 经典33节点 前推回代法潮流计算 回代电流 前推电压 带注释.rar
- 基于matlab实现模拟退火遗传算法的车辆调度问题研究,用MATLAB语言加以实现.rar
- 基于matlab实现蒙特卡洛的的移动传感器节点定位算法仿真代码.rar
- 华中数控系统818用户说明书
- 基于matlab实现卡尔曼滤波器完成多传感器数据融合 对多个机器人的不同传感器数据进行融合估计足球精确位置.rar
- 基于matlab实现进行简单车辆识别-车辆检测.rar
资源上传下载、课程学习等过程中有任何疑问或建议，欢迎提出宝贵意见哦~我们会及时处理！
点击此处反馈
