pynn | A simple and flexible python neural network package | Machine Learning library

by yujiali Python Version: Current License: MIT

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

kandi X-RAY | pynn Summary

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

A simple and flexible python neural network package. The code is released under [MIT license] LICENSE.txt).

Support

Quality

Security

License

Reuse

Support

pynn has a low active ecosystem.

It has 4 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

pynn has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pynn is current.

Quality

pynn has no bugs reported.

Security

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

License

pynn is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pynn 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.

Top functions reviewed by kandi - BETA

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

Load from file stream
Load a Preprocessor from a stream
Loads the parameters from a file - like object
Load LayerParams from stream
Load parameters from a stream
Train the model
Evaluate the gradients
Forward propagation
Update the mean and standard deviation
Save the coefficients to a binary string
Return the type code
Computes the loss and gradient of the loss function
Computes the non - weighted loss for the given pred
Gets the loss
Load model from file stream
Load the model from a stream
Sets the param from the given vector
Get the parameter vector
Adds a layer to the network
Loads a model from a stream
Load from file - like object
Save the model to binary
Save the model to binary
Save the statistics to binary
Sets up the mean standard deviation on a fixed set
Set the parameter from a vector

Get all kandi verified functions for this library.

pynn Key Features

No Key Features are available at this moment for pynn.

pynn Examples and Code Snippets

No Code Snippets are available at this moment for pynn.

Community Discussions

Trending Discussions on pynn

Error while sending a spike using PyNN - SpiNNaker

Unable to remove TypeError: unhashable type: 'numpy.ndarray'

QUESTION

Error while sending a spike using PyNN - SpiNNaker

Asked 2020-Jul-22 at 12:31

I am trying to send a single spike to neuron 18 of the population I created using connection.send_spike(label, 18). The code I am using is the same as the example on Jypiter which runs correctly there.

...

ANSWER

Answered 2020-Jul-22 at 12:31

I am posting the answer I found in case someone else has the same problem

The output didn’t write the database; this can be forced by adding “create_database = True” to the “[Database]” section of your .spynnaker.cfg file.

Source https://stackoverflow.com/questions/62959896

QUESTION

Unable to remove TypeError: unhashable type: 'numpy.ndarray'

Asked 2018-Feb-25 at 12:03

I have just started learning tensorflow coding and I am stuck with very basic code for creating a neural network. Below is the the code:

...

ANSWER

Answered 2018-Feb-25 at 12:03

You are assigning the result of session.run() to a. This means a is a numpy array after the first run, overwriting the original definition as a placeholder. Then you are using this array as a key in the dictionary for the second run, which obviously doesn't work.

Renaming the a and b variables within the session context should fix it, e.g.

Source https://stackoverflow.com/questions/48972752

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

Vulnerabilities

No vulnerabilities reported

Install pynn

You can download it from GitHub.
You can use pynn like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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