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Learn TensorFlow : Video Tutorials 1.0

3 MB / 0+ Downloads / Rating 1.0 - 1 reviews


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Learn TensorFlow : Video Tutorials, developed and published by SikApps Developers Pvt. Ltd., has released its latest version, 1.0, on 2023-01-30. This app falls under the Education category on the Google Play Store and has achieved over 1 installs. It currently holds an overall rating of 1.0, based on 1 reviews.

Learn TensorFlow : Video Tutorials APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.1+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Details

Package name: com.sikapps.tensorflow

Updated: 2 years ago

Developer Name: SikApps Developers Pvt. Ltd.

Category: Education

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Learn TensorFlow : Video Tutorials 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.

App Rating

1.0
Total 1 reviews

Previous Versions

Learn TensorFlow : Video Tutorials 1.0
2023-01-30 / 3 MB / Android 4.1+

About this app

★ Table of Contents ★

1) Welcome
2) Introduction To TensorFlow
3) TensorFlow's Hello World
4) Tensors, Variables And Placeholders
5) Linear Regression With TensorFlow
6) Logistic Regression
7) Activation Functions
8) Introduction To Convolutional Networks
9) Convolution And Feature Learning
10) Convolution With Python And TensorFlow
11) The MNIST Database
12) Multilayer Perceptron With TensorFlow
13) Convolutional Network With TensorFlow
14) The Sequential Problem
15) The Recurrent Neural Network Model
16) The Long Short Term Memory Model
17) Recursive Neural Tensor Networks
18) Applying Recurrent Networks To Language Modelling
19) Introduction To Unsupervised Learning
20) RBMs And Autoencoders
21) Initializing A Restricted Boltzmann Machine
22) Training A Restricted Boltzmann Machine
23) Recommendation System With A Restrictive Boltzmann Machine
24) Introduction To Autoencoders
25) Autoencoder Structure
26) Autoencoders With TensorFlow
27) Deep Belief Networks
28) Course Summary

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Disclaimer : Developer claims no credit for any video embedded in this app unless otherwise noted. Videos embedded in this app are copyright to its respectful owners. If there is an video appearing in this app that belongs to you and you do not want it to appear in this app, please contact us via email and it will be promptly removed.

New features

We are hearing you and constantly improving the App. This time round we have made some minor improvements and bug fixes to enhance your learning experience with us!
We love hearing your reviews and suggestions so please don't stop sending them in!
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App Permissions

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