neurolab | Neurolab is a simple and powerful Neural Network Library | Machine Learning library

by zueve Python Version: Current License: No License

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

kandi X-RAY | neurolab Summary

neurolab is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. neurolab has no bugs, it has no vulnerabilities, it has build file available and it has high support. You can download it from GitHub.

Neurolab is a simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.

Support

Quality

Security

License

Reuse

Support

neurolab has a highly active ecosystem.

It has 148 star(s) with 43 fork(s). There are 22 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 24 have been closed. On average issues are closed in 41 days. There are no pull requests.

It has a negative sentiment in the developer community.

The latest version of neurolab is current.

Quality

neurolab has 0 bugs and 0 code smells.

Security

neurolab has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

neurolab code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

neurolab 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

neurolab releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed neurolab and discovered the below as its top functions. This is intended to give you an instant insight into neurolab implemented functionality, and help decide if they suit your requirements.

Call the network .
Generate a new smesh .
Calculate the gradient of a layer .
Create a new network .
Build a new GRNN layer .
Initialize the w . r .
Generate a network .
Generate a new hop network .
Create a new network layer .
Calculate gradient of convolutional layer .

Get all kandi verified functions for this library.

neurolab Key Features

No Key Features are available at this moment for neurolab.

neurolab Examples and Code Snippets

No Code Snippets are available at this moment for neurolab.

Community Discussions

Trending Discussions on neurolab

How to get final Neural Network error with NeuroLab?

Getting Assertion Error when training data in neural network in python?

QUESTION

How to get final Neural Network error with NeuroLab?

Asked 2018-May-05 at 15:03

I already know how to train a neural net with NeuroLab and get the error every X epochs, but I want to get the final error after training the net.

...

ANSWER

Answered 2018-May-05 at 15:03

Okay, so the best way I have found until now is to save the error progress and then get the last item in the array.

Source https://stackoverflow.com/questions/50188922

QUESTION

Getting Assertion Error when training data in neural network in python?

Asked 2017-Mar-28 at 18:27

I have a file BCICIV1bAF3.dat which contain data. The file size is 20x1

This is my code...

In newff function the range i decide based on Min/Max but i dont know how to decide the other parameters. How much hidden layer do i want etc.

...

ANSWER

Answered 2017-Mar-28 at 17:56

Did you try other training methods? I saw in other answer that it helped, because of a bug in library. Available methods: train_gd, train_gdm, train_gda, train_gdx, train_rprop, train_bfgs (DEFAULT), train_cg

~~You can change it by calling:~~

~~net.trainf = nl.train.train_gd~~

If you could provide input data (even with changed values) it would be great.

I tried calling train method for input in form: [0,1,2,3...18,19] and it failed - I had to change input (and target) to [[0],[1],...[18],[19]]

EDIT:

Your data is in wrong format, you should transform it to list of lists. I don't have scipy on my machine, but try this:

Source https://stackoverflow.com/questions/43045240

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

Vulnerabilities

No vulnerabilities reported

Install neurolab

Install neurolab using pip:.

Support

Home Page: http://code.google.com/p/neurolab/PyPI Page: http://pypi.python.org/pypi/neurolabDocumentation: http://packages.python.org/neurolab/Examples: http://packages.python.org/neurolab/example.html

Find more information at: