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

Scene-Text-Detection-and-Recognition (Pytorch)

Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)

Offcial implementation of "A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction, ICCV-2021".

Efficient Sparse Attacks on Videos using Reinforcement Learning

PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Python implementation of "Elliptic Fourier Features of a Closed Contour"

Code related to the manuscript "Averting A Crisis In Simulation-Based Inference"

A PyTorch version of You Only Look at One-level Feature object detector

Code for our CVPR2021 paper coordinate attention

novel deep learning research works with PaddlePaddle

Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset

This is an official pytorch implementation of Fast Fourier Convolution.

An implementation of Deep Forest 2021.2.1.

Code repository for the paper "Tracking People with 3D Representations"

A LiDAR point cloud cluster for panoptic segmentation

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight

TensorFlow for Raspberry Pi

BED: A Real-Time Object Detection System for Edge Devices