Backend-as-a-Service

Multi-Perceptron Neural Network

Back Propagation Neural Networks with unlimited hidden layers for iOS

Status
UnmaintainedNo commits in 3351 days.
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier · from $0

What it is

A multi-perceptrons neural network framework based on Back Propagation Neural Networks, designed to support an unlimited number of hidden layers. It is specifically tailored for iOS development.

The Multi-Perceptron Neural Network provides unparalleled flexibility in designing neural network architectures with an unlimited number of hidden layers specifically tailored for iOS applications.

When it fits — and when it doesn’t

A good fit for

  • Developers building machine learning models specifically for iOS applications who need flexibility in neural network architecture design

  • Educators teaching the principles of Back Propagation Neural Networks and multi-layer perceptrons

Look elsewhere if

  • Projects requiring cloud-based deployment or services, as it is designed for local use on iOS devices

  • Developers looking for a framework that supports real-time data streaming and processing

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support, only available in Swift

    The framework is specifically tailored for iOS development and does not provide native support for other languages commonly used in machine learning like Python or Java.

  2. 02

    Small community due to niche focus on iOS

    Being specialized for iOS limits the size of its user base, which can result in fewer contributions and slower development of new features.

  3. 03

    Complex setup process for integrating with existing projects

    Integrating this framework into an existing iOS project requires significant configuration changes and may not be straightforward for developers unfamiliar with the specific requirements.

  4. 04

    Performance limitations on resource-constrained devices

    Running complex neural networks, especially those with many hidden layers, can strain the resources of mobile devices leading to slower performance or increased battery usage.

What it does well

  • Supports unlimited hidden layers in neural networks

  • Based on Back Propagation Neural Networks (BPN)

  • Tailored for iOS development

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Multi-Perceptron Neural Network

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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