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TensorFlow 1.9

價格:免費

更新日期:2018-07-22

檔案大小:16M

目前版本:1.0.3

版本需求:Android 4.4 以上版本

官方網站:https://www.nextlabs.cc/

Email:nextlabs.cc@gmail.com

聯絡地址:No 905, Jalan Melor 2, Taman Tangkak Jaya, 84900 Tangkak, Johor, Malaysia.

TensorFlow 1.9(圖1)-速報App

TensorFlow 1.9 Documentation

TensorFlow is an open source software library for numerical computation using data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.

TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.

Attribution:

the TensorFlow logo and any related marks are trademarks of Google Inc.

Table of Content

Install TensorFlow

Install TensorFlow on Ubuntu

Install TensorFlow on macOS

Install TensorFlow on Windows

Install TensorFlow on Raspbian

Install TensorFlow from Sources

Transitioning to TensorFlow 1.0

Install TensorFlow for Java

Install TensorFlow for Go

Install TensorFlow for C

TensorFlow Guide

Keras

Eager Execution

Importing Data

Introduction to Estimators

Premade Estimators

Checkpoints

Feature Columns

Datasets for Estimators

Creating Custom Estimators

Using GPUs

Using TPUs

Introduction

Tensors

Variables

Graphs and Sessions

Save and Restore

Embeddings

TensorFlow Debugger

Visualizing Learning

Graphs

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Histograms

TensorFlow Version Compatibility

Frequently Asked Questions

Overview

Basic classification

Text classification

Regression

Overfitting and underfitting

Save and restore models

Overview

Custom training: walkthrough

Linear model with Estimators

Text classifier with TF-Hub

Build a CNN using Estimators

Image recognition

Image retraining

Advanced CNN

Recurrent neural network

Drawing classification

Simple audio recognition

Vector representations of words

Kernel methods

Large-scale linear models

Mandelbrot set

Partial differential equations

Next steps

Deploy

Distributed TensorFlow

How to run TensorFlow on Hadoop

How to run TensorFlow on S3

Deploy to JavaScript

Introduction

Architecture Overview

Installation

Serving a TensorFlow Model

RESTful API

Building Standard TensorFlow ModelServer

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Serving Inception Model with TensorFlow Serving and Kubernetes

Creating a new kind of servable

Creating a module that discovers new servable paths

SignatureDefs in SavedModel for TensorFlow Serving

Using TensorFlow Serving via Docker

Performance

Performance Guide

Input Pipeline Performance Guide

Benchmarks

Fixed Point Quantization

XLA Overview

Broadcasting semantics

Developing a new backend for XLA

Using JIT Compilation

Operation Semantics

Shapes and Layout

Using AOT compilation

Extend

TensorFlow Architecture

Adding a New Op

Adding a Custom Filesystem Plugin

Reading custom file and record formats

TensorFlow in other languages

A Tool Developer's Guide to TensorFlow Model Files

Overview

Introduction to TensorFlow Lite

Developer Guide

Android Demo App

iOS Demo App

Performance

Introduction to TensorFlow Mobile

Building TensorFlow on Android

Building TensorFlow on iOS

Integrating TensorFlow libraries

Preparing models for mobile deployment

Optimizing for mobile

Community

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Roadmap

Contributing to TensorFlow

Mailing Lists

User Groups

Writing TensorFlow Documentation

TensorFlow Style Guide

Defining and Running Benchmarks

About TensorFlow

TensorFlow In Use

TensorFlow White Papers

Attribution

Overview

Installation

Using a Module

Creating a New Module

Fine-Tuning

Hosting a Module

Image Retraining

Text Classification

Overview

Common Signatures for Images

Common Signatures for Text

Overview

add_signature

create_module_spec

get_expected_image_size

get_num_image_channels

image_embedding_column

LatestModuleExporter

load_module_spec

Module

ModuleSpec

register_module_for_export

text_embedding_column

Overview

Image Modules

Text Modules

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Other Modules

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