installation works: library(keras) mnist <- dataset_mnist() train_images <- mnist$train$x train_labels <- mnist$train$y test_images <- mnist$test$x test_labels <- mnist$test$y #data structure checking

初步修改 业务升级 实践指南 1 从hello world开始 以深度学习的第一个案例MNIST为例 学习Tensorflow框架的使用及代码编写风格 理解TF Mac CPU运行结果 GPU运行结果 TPU运行结果 TPU的创建和使用 TPU训练MNIST的改动 TPU训练MNIST的改动 https://www.tensorflow.org/guide/distribute_strateg hours? 16 Chicago Taxi Cab Dataset Tensorflow/Keras中的网络 Custom training with TPUs • https://www.tensorflow.org/tutorials/distribute/tpu_custom_training 3 业务升级 以上已经针对MNIST做了一些深入学习 接下来思考如何满足实际业务上的需要

13TDataLink.BufferCount . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 11.20.14TDataLink.DataSet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 11.20.15TDataLink.DataSource TDataSource.AutoEdit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414 11.23.10TDataSource.DataSet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415 11.23.11TDataSource.Enabled . . TDefCollection.IndexOf . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423 11.28.8 TDefCollection.Dataset . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423 11.28.9 TDefCollection.Updated . .

Functions apsw, an advanced sqlite driver BerkeleyDB backend Sqlcipher backend Postgresql Extensions DataSet Django Integration Fields Generic foreign keys Hybrid Attributes Key/Value Store Shortcuts Signal backend Postgresql Extensions High-level features Fields Shortcuts Hybrid Attributes Signal support DataSet Key/Value Store Generic foreign keys CSV Utils Database management and framework integration pwiz # Note `to_tsvector()`. DataSet The dataset module contains a high-level API for working with databases modeled after the popular project of the same name [https://dataset.readthedocs.io/en/latest/index

Extensions High-level features • Fields • Shortcuts • Hybrid Attributes • Signal support • DataSet • Key/Value Store • Generic foreign keys 82 Chapter 1. Contents: peewee Documentation, Release `to_tsvector()`. 1.13.8 DataSet The dataset module contains a high-level API for working with databases modeled after the popular project of the same name. The aims of the dataset module are to provide: Release 2.10.2 A minimal data-loading script might look like this: from playhouse.dataset import DataSet db = DataSet('sqlite:///:memory:') table = db['sometable'] table.insert(name='Huey', age=3) table

Sqlite User-Defined Functions apsw, an advanced sqlite driver Sqlcipher backend Postgresql Extensions DataSet Fields Hybrid Attributes Shortcuts Signal support pwiz, a model generator Schema Migrations Reflection backend Postgresql Extensions High-level features Fields Shortcuts Hybrid Attributes Signal support DataSet Database management and framework integration pwiz, a model generator Schema Migrations Connection # Note `to_tsvector()`. DataSet The dataset module contains a high-level API for working with databases modeled after the popular project of the same name [https://dataset.readthedocs.io/en/latest/index

Functions apsw, an advanced sqlite driver Sqlcipher backend Postgresql Extensions MySQL Extensions DataSet Fields Hybrid Attributes Key/Value Store Shortcuts Signal support pwiz, a model generator Schema Extensions High-level features Fields Shortcuts Hybrid Attributes Key/Value Store Signal support DataSet Database management and framework integration pwiz, a model generator Schema Migrations Connection host='1.2.3.4', user='mysql') DataSet The dataset module contains a high-level API for working with databases modeled after the popular project of the same name [https://dataset.readthedocs.io/en/latest/index

Functions apsw, an advanced sqlite driver Sqlcipher backend Postgresql Extensions MySQL Extensions DataSet Fields Hybrid Attributes Key/Value Store Shortcuts Signal support pwiz, a model generator Schema Extensions High-level features Fields Shortcuts Hybrid Attributes Key/Value Store Signal support DataSet Database management and framework integration pwiz, a model generator Schema Migrations Connection host='1.2.3.4', user='mysql') DataSet The dataset module contains a high-level API for working with databases modeled after the popular project of the same name [https://dataset.readthedocs.io/en/latest/index

Sqlite User-Defined Functions apsw, an advanced sqlite driver Sqlcipher backend Postgresql Extensions DataSet Fields Hybrid Attributes Shortcuts Signal support pwiz, a model generator Schema Migrations Reflection backend Postgresql Extensions High-level features Fields Shortcuts Hybrid Attributes Signal support DataSet Database management and framework integration pwiz, a model generator Schema Migrations Connection # Note `to_tsvector()`. DataSet The dataset module contains a high-level API for working with databases modeled after the popular project of the same name [https://dataset.readthedocs.io/en/latest/index

High-level features • Fields • Shortcuts • Hybrid Attributes • Key/Value Store • Signal support • DataSet Database management and framework integration • pwiz, a model generator • Schema Migrations • user='mysql') 1.11.7 DataSet The dataset module contains a high-level API for working with databases modeled after the popular project of the same name. The aims of the dataset module are to provide: relational database. A minimal data-loading script might look like this: from playhouse.dataset import DataSet db = DataSet('sqlite:///:memory:') table = db['sometable'] table.insert(name='Huey', age=3) table