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Pocket AutoML on Windows Pc

Developed By: Evgeniy Mamchenko

License: Free

Rating: 4,8/5 - 55 votes

Last Updated: April 21, 2024

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 1.3.11
Size 52.2 MB
Release Date December 14, 23
Category Tools Apps

App Permissions:
Allows an application to read from external storage. [see more (4)]

What's New:
• Improved model training speed.• Added the Android app creation tutorial.• Added model export in TensorFlow Lite format.• Added model statistics.• Fixed an... [see more]

Description from Developer:
• Pocket AutoML lets artificial intelligence enthusiasts even without prior machine learning experience train a deep learning image classification model (a convolutional neural net... [read more]

App preview ([see all 7 screenshots])

App preview

About this app

On this page you can download Pocket AutoML and install on Windows PC. Pocket AutoML is free Tools app, developed by Evgeniy Mamchenko. Latest version of Pocket AutoML is 1.3.11, was released on 2023-12-14 (updated on 2024-04-21). Estimated number of the downloads is more than 1,000. Overall rating of Pocket AutoML is 4,8. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 55 users, 1 users had rated it 5*, 44 users had rated it 1*.

How to install Pocket AutoML on Windows?

Instruction on how to install Pocket AutoML on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Pocket AutoML on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

  1. Install using BlueStacks
  2. Install using NoxPlayer

Step By Step Guide To Install Pocket AutoML using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "Pocket AutoML" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Pocket AutoML on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "Pocket AutoML" on the home screen of NoxPlayer, just click to open it.

Discussion

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Download older versions

Other versions available: 1.3.11 , 1.3.8.

Download Pocket AutoML 1.3.11 on Windows PC – 52.2 MB

Download Pocket AutoML 1.3.8 on Windows PC – 94.7 MB

• Pocket AutoML lets artificial intelligence enthusiasts even without prior machine learning experience train a deep learning image classification model (a convolutional neural network) right on their devices and experiment with it.
• It can export models it in TensorFlow Lite format so a user can make a custom Android app based on it following the provided tutorial.
• Computer vision or deep learning professionals can also use it as a tool to create a quick proof-of-concept for transfer learning on their tasks without a single line of code.
• It trains a model right on on your device in seconds (for a dataset with dozens of images).
• It respects your privacy: your images are never uploaded anywhere as both training and prediction happens on your device.
• It does not need an internet connection for training and predicting.
• Just few images per class can be enough to train a model that accurately classifies objects (what is known as few-shot learning).
• Improved model training speed.
• Added the Android app creation tutorial.
• Added model export in TensorFlow Lite format.
• Added model statistics.
• Fixed an issue with the app returning to the main screen, e.g. when taking or picking photos.
• Better photo quality.
• More hints for new users.
• Faster image import from device storage.
• Other bugfixes and improvements.
Allows an application to read from external storage.
Allows applications to open network sockets.
Allows applications to access information about networks.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.