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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.

Release History

Release History

This version
History Node

0.2.1

History Node

0.2

History Node

0.1.1

History Node

0.1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
nimblenet-0.2.1.tar.gz (11.7 kB) Copy SHA256 Checksum SHA256 Source Jul 29, 2016

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