NeuPy is the Artificial Neural Network library implemented in Python.
Project description
NeuPy v0.2.1 (beta)
Installation
$ pip install neupy
Links
Tutorials
Dependencies
Python 2.7, 3.4
Theano >= 0.8.1
NumPy >= 1.9.0
SciPy >= 0.14.0
Matplotlib >= 1.4.0
Next steps
Adding reccurent neural network layers (Issue #57)
Bug fixing and version stabilization (Known bugs)
Speeding up algorithms
Adding more algorithms
Algorithms
Algorithms that use Backpropagation training approach
Classic Gradient Descent
Mini-batch Gradient Descent
Conjugate Gradient
Fletcher-Reeves
Polak-Ribiere
Hestenes-Stiefel
Conjugate Descent
Liu-Storey
Dai-Yuan
quasi-Newton with Wolfe search
BFGS
DFP
PSB
SR1
Levenberg-Marquardt
Hessian (Newton’s method)
Hessian diagonal
Momentum
Nesterov Momentum
RPROP
iRPROP+
QuickProp
Adadelta
Adagrad
RMSProp
Adam
AdaMax
Algorithms that penalize weights
Weight Decay
Weight Elimination
Algorithms that update learning rate
Adaptive Learning Rate
Error difference Update
Linear search using Golden Search or Brent
Search than converge
Simple Step Minimization
Ensembles
Mixture of Experts
Dynamically Averaged Network (DAN)
Neural Networks with Radial Basis Functions (RBFN)
Generalized Regression Neural Network (GRNN)
Probabilistic Neural Network (PNN)
Radial basis function K-means
Autoasociative Memory
Discrete BAM Network
CMAC Network
Discrete Hopfield Network
Competitive Networks
Adaptive Resonance Theory (ART1) Network
Self-Organizing Feature Map (SOFM or SOM)
Linear networks
Perceptron
LMS Network
Modified Relaxation Network
Associative
OJA
Kohonen
Instar
Hebb
Project details
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