TensorFlow Tutorial Application icon

TensorFlow Tutorial 1.0

4.8 MB / 10+ Downloads / Rating 5.0 - 1 reviews


See previous versions

TensorFlow Tutorial, developed and published by Ella Preck, has released its latest version, 1.0, on 2020-10-29. This app falls under the Education category on the Google Play Store and has achieved over 1000 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

TensorFlow Tutorial APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.2+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

Read More

App Screenshot

App Screenshot

App Details

Package name: com.ella_preck.tensorflow_tutorial

Updated: 4 years ago

Developer Name: Ella Preck

Category: Education

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing TensorFlow Tutorial on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

TensorFlow Tutorial 1.0
2020-10-29 / 4.8 MB / Android 4.2+

About this app

TensorFlow is an open source machine learning framework for all developers.

It is used for implementing machine learning and deep learning applications.

It combines the computational algebra of optimization techniques for easy calculation of many mathematical expressions.

TensorFlow is well-documented and includes plenty of machine learning libraries. It offers a few important functionalities and methods for the same.

Things to be included :

Introduction
Installation
Understanding Artificial Intelligence
Mathematical Foundations
Machine Learning and Deep Learning
TensorFlow - Basics
Convolutional Neural Networks
Recurrent Neural Networks
TensorBoard Visualization
Word Embedding
Single Layer Perceptron
Linear Regression
TFLearn And Its Installation
CNN And RNN Difference
Keras
Distributed Computing
Exporting
Multi-Layer Perceptron Learning
Hidden Layers of Perceptron
Optimizers
XOR Implementation
Gradient Descent Optimization
Forming Graphs
Image Recognition using TensorFlow
Recommendations for Neural Network Training

New features

Learn Tensorflow

App Permissions

Allows applications to access information about networks.
Allows applications to open network sockets.