Live Reviews:
mobileML

mobileML

Neural Networks & Automation

⭐️4.4 / 5
Rating
🙌8
Ratings
📼6 scs
Content
📦w/o updates
Updates frequency
🗣❌ unsupported
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All Versions of mobileML

1.0

June 27, 2018

This app has been updated by Apple to display the Apple Watch app icon.
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Price History of mobileML

Description of mobileML

mobileML lets you harness the power of neural networks at your fingertips! ***MAIN FEATURES*** LEARN about neural networks - mobileML includes a detailed Help Center with in-depth tutorials about how to use mobileML and the mathematics behind basic neural networks - Download sample networks from MagMHJ.com to learn how neural networks work inside mobileML DESIGN your own neural networks - Construct your own fully-connected neural networks with custom dimensions - Add input nodes that are updated with sensor data, stock prices, cryptocurrency prices, microphone data, or many other sources - Use data from HealthKit to create networks to help you manage your health more effectively - Apply presets to automatically generate common neural networks - Edit every node's value, edge's value, and layer's activation function TRAIN neural networks - Live train networks to generate large datasets - Train networks with HealthKit data to develop networks that make health management easier - Automatic control of learning rate during network training (optional) - Retrain networks on datasets saved earlier or imported datasets from elsewhere - Export datasets as a text file and share easily with friends or import into other networks RUN neural networks and automate tasks - Automatically propagate through networks each time input nodes are updated - Attach actions, like sending a Bluetooth message or opening a website, to different output nodes - Chain networks together by attaching actions that launch other networks SHARE networks with AirDrop, messaging & social media - Networks (including images and actions) can be packaged together and shared over various services, like iMessage and AirDrop EXPORT networks as Python scripts - Convert networks to PyTorch (Python 3) scripts to run them on other platforms - PyTorch scripts can be packaged together with a companion dataset to make training on other platforms effortless - mobileML can be used as a prototyping tool for enterprise-grade machine learning solutions
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mobileML: FAQ

Does mobileML offer an iPad version?

The mobileML software is compatible with iPad devices.
The mobileML app was released by MagMHJ, LLC.
Your iOS device should have iOS 10.0 or later installed to run the app.
4.4: The mobileML app gets a lot of positive feedback.
The App Category Of The Mobileml App Is Utilities.
The latest version of the mobileML app is 1.0.
mobileML released its latest update on July 7, 2024.
mobileML was initially released on February 6, 2023.
May contain some depictions of drug use, intense violence, or sexual content, appropriate for ages 17 and up.
Currently, the mobileML app supports the following languages: English.
Unfortunately, mobileML is not on Apple Arcade.
Unfortunately, mobileML does not provide opportunities for in-app purchases.
No, mobileML does not offer compatibility with Apple Vision Pro.

Screenshots of mobileML

iphone
ipad

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Reviews of mobileML

  • Dude! This is so cool!! Woww

    Its actually exactly what I was looking for in the app store, but thought Id never find.. And, it just opens right up and works. no account needed, or email scam, or personal info farming.. dude. This app is a home run. How can anybody give it 4 stars and complain? Seriously.. “ehhh its great idea but kinda too clunky”.. 😳how can I not just say “shut up then and make something half as good yourself mr smooth. cause your totally missing the point, and the app store needs it.” i dont see any other app like this anywhere. Id give it 6 stars if I could.Theres nothing else like it to compare it to. Fantastic job bro.

    Developer Response

    Haha thanks man! Seems like you understand the plight of the developer
  • I wish it could import a dataset

    It's nice that it can work with sensors, but some of what I'd like to do involves pulling in ordinary CSV datasets.
  • Cool concept, with some issues

    I love the idea here. It's a sort of neural network mini-lab, and could be great for people like me who want to get into AI/machine learning/data-driven app development. Unfortunately, I find the interface a bit clunky, and there seems to be a frequent glitch that causes some wights to become "NaN" (not a number). I'd like to see the app further developed.