Skip to main content

Efficient python (NumPy) neural network library.

Project description

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for nimblenet, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size nimblenet-0.2.1.tar.gz (11.7 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page