Neural-Network-Playground | neural network Swift playground , with no third party | Math library

by hetelek Swift Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Neural-Network-Playground Summary

Neural-Network-Playground is a Swift library typically used in Utilities, Math applications. Neural-Network-Playground has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This project uses iOS Playgrounds to display a working neural network. No external libraries are used. The matrix and neural network code is written in pure Swift. This playground has only been tested on an 12.9‑inch iPad Pro.

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Reuse

Support

Neural-Network-Playground has a low active ecosystem.

It has 371 star(s) with 7 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

Neural-Network-Playground has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Neural-Network-Playground is current.

Quality

Neural-Network-Playground has 0 bugs and 0 code smells.

Security

Neural-Network-Playground has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Neural-Network-Playground code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Neural-Network-Playground does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Neural-Network-Playground releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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Neural-Network-Playground Key Features

No Key Features are available at this moment for Neural-Network-Playground.

Neural-Network-Playground Examples and Code Snippets

No Code Snippets are available at this moment for Neural-Network-Playground.

Community Discussions

Trending Discussions on Neural-Network-Playground

Synaptic / Neataptic simple NEAT XOR solution

Neataptic always returning same value after training

QUESTION

Synaptic / Neataptic simple NEAT XOR solution

Asked 2018-Feb-01 at 13:35

EDIT: I managed to get together couple of simple examples https://github.com/developer239/neural-network-playground

Could anyone help me with simple neat example teaching the net how to solve XOR or some other similar problem? But using the NEAT technique so that I would not have to specify training data set?

Using javascript: https://github.com/cazala/synaptic or https://github.com/wagenaartje/neataptic

1. Initialize network 2. Generate generation 3. Go through each genome in generation and evaluate its fitness (how good it is) 4. Take 2 best genomes from generation 5. Merge genomes 50 / 50 at random 6. Mutate final genome 7. Generate second generation

This would be extremely helpful. Same teqnique is being used here:

https://github.com/ivanseidel/IAMDinosaur

https://www.youtube.com/watch?v=P7XHzqZjXQs

I went through the source code but there is WAY to much stuff going on. I understand the general idea. However I have no idea how to implement the solution.

Thank you :)

...

ANSWER

Answered 2017-Oct-08 at 13:52

There is an example on Neataptic's README.md.

Source https://stackoverflow.com/questions/46624377

QUESTION

Neataptic always returning same value after training

Asked 2017-Oct-22 at 12:26

EDIT: I managed to get together couple of simple examples https://github.com/developer239/neural-network-playground

I just started playing with neataptic. I wanted to make the neural network to learn how to count using number: 1, 2, 3, 4, 5, 6, 7, 8, 9.

I normalized my inputs to 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9.

Then I wrote really simple training program that would teach the net how to add 1 + 2 (0.1 + 0.3).

...

ANSWER

Answered 2017-Oct-08 at 13:50

The dataset is too small for the neural network to learn from patterns. You have only provided it with samples that have 0.3 as output. The neural network minimizes its error by always outputting 0.3, as that is exactly how it was trained. I have created an example with 1000 (dynamically generated) samples, which seems to work:

Source https://stackoverflow.com/questions/46621111

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Neural-Network-Playground

This is how I do it, but I'm sure there is a better way:.
Install the Swift Playgrounds app on your device.
Download or clone this repository.
AirDrop the Neural Network.playground folder from your Mac to your device.
Open the received playground in the Playground application.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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