TensorFlow 1.9 APK

Version 1.0.3 - cc.nextlabs.tensorflow
Last updated: 2020-04-08
nextlabs,tensorflow,books,reference

TensorFlow 1.9 Documentation

TensorFlow 1.9 apk

APP Information

Download Version 1.0.3 (10003)
Apk Size15.75 MB
App DeveloperNextLabs.cc
Malware CheckTRUSTED
Install on Android4.4.x and up
App Packagecc.nextlabs.tensorflow.apk
MD55539b963100626107f07d2743c72d08f
Rate5
Website https://www.nextlabs.cc/

Download TensorFlow 1.9 1.0.3 APK

App Description

TensorFlow 1.9 is nextlabs,tensorflow,books,reference, content rating is Everyone (PEGI-3). This app is rated 5 by 1 users who are using this app. To know more about the company/developer, visit NextLabs.cc website who developed it. cc.nextlabs.tensorflow.apk apps can be downloaded and installed on Android 4.4.x and higher Android devices. The Latest Version of 1.0.3 Available for download. Download the app using your favorite browser and click Install to install the application. Please note that we provide both basic and pure APK files and faster download speeds than APK Mirror. This app APK has been downloaded 0+ times on store. You can also download cc.nextlabs.tensorflow APK and run it with the popular Android Emulators.

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
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
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
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
Other Modules
 

App ChangeLog

App Screens

TensorFlow 1.9 App Screen 1TensorFlow 1.9 App Screen 2TensorFlow 1.9 App Screen 3TensorFlow 1.9 App Screen 4TensorFlow 1.9 App Screen 5TensorFlow 1.9 App Screen 6

Permissions

requires following permissions on your android device.

android.permission.ACCESS_NETWORK_STATE
android.permission.INTERNET
com.android.vending.BILLING
android.hardware.faketouch
android.hardware.screen.portrait
view network connections
Allows the app to view information about network connections such as which networks exist and are connected.

full network access
Allows the app to create network sockets and use custom network protocols. The browser and other applications provide means to send data to the internet, so this permission is not required to send data to the internet.

In-App billing
In-app Billing on Google Play provides a straightforward, simple interface for sending In-app Billing requests and managing In-app Billing transactions using Google Play.

Older Versions

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Google Play Reviews

  1. guest-avatar

    Thank you so much. This application is great and helpful. My humble request you to upgrade this one to tensorflow 2.0.

  2. guest-avatar

    Shubham Shivalkar

    2018-12-20T05:11:29.210Z

    Oke, So here it goes! This app is exceptionally Good but the only thing holding me back from giving 5 star is the manner data is arranged here. As Estimators and Highlevel APIs are the top extraction Layers for Tensorflow they should be Placed at last! And Introduction, Low Level APIs tensorBoard should be placed at Top...So please Revise the order of data so that one can learn convinently!

  3. guest-avatar

    Zoom in and out buttons do not work properly. only zooming in button works and zoom out button does nothing. Please fix or I will not be using this app anymore

  4. guest-avatar

    Shubham Panchal

    2019-02-18T16:00:34.636Z

    The app is a nice documentation source. I would like to see the docs for upcoming TensorFlow 2.0. Also, some notes on Keras would be awesome.

  5. guest-avatar

    Joao Pedro Prado

    2019-01-09T05:32:14.325Z

    Im having a issue, just the first topic appears and the others are somehow invisible

  6. guest-avatar

    A very helpful app for whose who are learning tensorflow from fundamentals.

  7. guest-avatar

    mahendra shakya

    2019-08-14T05:21:52.992Z

    Open source community has built something to support free learning, and people want to earn by sharing their content with ads. Disgust !!!😬😬😬

  8. guest-avatar

    Finally a worthy tutorial

  9. guest-avatar

    Abubakr Abdalla

    2018-07-23T19:32:12.567Z

    Great App, but please enable coping from it

  10. guest-avatar

    bharath kumar m

    2018-08-22T03:49:39.145Z

    Awesome learning app..

  11. guest-avatar

    Great reference. Thank you dev

  12. guest-avatar

    Victor I. Afolabi

    2018-05-10T00:52:05.381Z

    I love this app so much! Keeps track of learning progress, easy navigation. No internet connection needed. Great code highlighting!

  13. guest-avatar

    who every thought this was tensorflow has lost his brain cells BTW very helpful app

  14. guest-avatar

    Well structured app for easy reference..... I like it :-)

  15. guest-avatar

    Aliane Abdenour

    2018-04-29T23:43:25.642Z

    Please update it to 1.7 Update: thank you !

  16. guest-avatar

    Document, Installation and Tutorial are very good and understandable. Good Job!

  17. guest-avatar

    Great app

  18. guest-avatar

    Correct me if I am wrong, but isn't tf 1.7 the latest version with some deprecated features. Btw great docs

  19. guest-avatar

    Samarth Barthwal

    2018-04-27T08:03:55.154Z

    Very nice tutorial

  20. guest-avatar

    Just a guide

  21. guest-avatar

    DONATTO B MOOKKEN

    2018-03-18T16:48:30.397Z

    Well documented. This is what I'm searching. A complete organized tutorial.

  22. guest-avatar

    Great work guys, very well documented

  23. guest-avatar

    Useful but the increase and decrease font size icons do not work. The magnifying glass with a minus on it also increases font and the one with a plus does nothing. Once you increase the font, you cannot go back. Please fix.

  24. guest-avatar

    I can't zoom in. Only I can zoom out. Fix this issue. This app is great. It is very useful

  25. guest-avatar

    Samson Okubanjo

    2018-06-30T22:39:57.565Z

    Text was too tiny on my Samsung Galaxy Tab A

  26. guest-avatar

    Really needed. Thanks :D

  27. guest-avatar

    Alireza Mohammadi

    2018-08-29T19:42:10.974Z

    This is so great tool for ML developers.

  28. guest-avatar

    Un demanded

  29. guest-avatar

    Awesome app

  30. guest-avatar

    Good