jorgenkg/python-neural-network
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.
PythonBSD-2-Clause
Stargazers
- aadeshnpn@InspiringLab
- abunsenMiami, FL
- arne-clPotsdam
- bayesruleLondon
- chrinide
- cosmoharriganSeattle
- cosmosXI
- danbri@google (datacommons.org, schema.org)
- davidhariri@AdaSupport
- dber1
- duckythescientistNoVA
- eyadsibai
- FCH808Sapporo, Japan
- GarlandalXiDian University
- hitchhiker-
- Hydex
- ibrahimansari@aws
- IrtzaBerlin, Germany
- jev-uv
- JoseCardonaFigueroaAguascalientes, México
- kazuar
- kenchuHong Kong
- libocn
- marathonfailWorld
- marjinal1stAnkara, Turkey
- maximaminima
- mazhlekov@solvsoftware
- mkowoods
- mrecachinas@github
- mtewesUniversität Bonn
- neilsummersSan Francisco Bay Area
- sshres15
- ThomasGHenryThomas G Henry LLC
- timpalpantAtommap
- vijithasridhar
- zeichenkette