Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

Last update: Dec 17, 2022

Overview

Neuron class

Dependencies

Neuron class needs pandas and numpy to work propertly.

Example of usage

Consider Y are targets and X are inputs.

## LNUGD

neuron = LNUGD()
prediction = 1
yn, w, e, Wall, MSE = neuron.train(Y_train, X_train, epochs=2, prediction=prediction)
yn, w, Wall, MSE, e = neuron.countSerie(Y, X, logging=False, prediction=prediction)

QNULM

neuron = QNULM()
prediction = 1
yn, w, e, Wall, MSE = neuron.train(Y_train, X_train, epochs=10, prediction=prediction)
yn, w, MSE, e = neuron.countSerie(Y, X, logging=False, prediction=prediction)

RBF

neuron = RBF()
prediction = 1
neuron.train(Y_train, X_train, prediction=prediction)
yn = neuron.count(Y,X, logging=True, beta=0.01, prediction=prediction)

MLPGD

neuron = MLPGD()
prediction = 1
yn = neuron.count(Y_train, X_train, prediction=prediction, epochs=5)
yn = neuron.count(Y, X, prediction=prediction, epochs=1)

MLPELM

neuron = MLPELM()
prediction = 1
yn = neuron.count(Y_train, X_train, prediction = prediction, epochs = 10)
yn = neuron.count(Y, X, prediction = prediction)

MLPLMWL

neuron = MLPLMWL()
prediction = 1
yn = neuron.count(Y, X, learningWindow = 50, overLearn = 10,  prediction = prediction)

Support me

If you find this useful, consider supporting independent open-source development and buy me a coffee.

Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

Related tags

Overview

Neuron class

Dependencies

Example of usage

QNULM

RBF

MLPGD

MLPELM

MLPLMWL

Support me

Owner

Filip Molcik

METS/ALTO OCR enhancing tool by the National Library of Luxembourg (BnL)

Self Governing Neural Networks (SGNN): the Projection Layer

FluxTraining.jl gives you an endlessly extensible training loop for deep learning

Compare neural networks by their feature similarity

An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Probabilistic-Monocular-3D-Human-Pose-Estimation-with-Normalizing-Flows

Graph WaveNet apdapted for brain connectivity analysis.

A Blender python script for getting asset browser custom preview images for objects and collections.

Find the Heart simple Python Game

Fine-tuning StyleGAN2 for Cartoon Face Generation

Python版OpenCVのTracking APIのサンプルです。DaSiamRPNアルゴリズムまで対応しています。

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

The code uses SegFormer for Semantic Segmentation on Drone Dataset.

A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".

PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning

PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"

Library of various Few-Shot Learning frameworks for text classification

Creative Applications of Deep Learning w/ Tensorflow