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sigmoid-function

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harismuneer / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

Star 65

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

svm machine-learning-algorithms mnist-dataset logistic-regression support-vector-machines knn artificial-neural-network handwritten-digit-recognition k-nearest-neighbours supervised-machine-learning support-vector-classifier perceptron-learning-algorithm sigmoid-function delta-rule mnist-classification-logistic comparative-study multiclass-perceptron learning-algorithms-comparison accuracy-analysis efficiency-analysis
  • Updated Jan 30, 2025
  • Python

Ankushr785 / Emotion-recognition-from-tweets

Star 17

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

natural-language-processing word2vec layers text-processing ann support-vector-machines tfidf lemmatization sigmoid-function
  • Updated Oct 5, 2017
  • Python

JuliaSzymanska / Artificial-Intelligence

Star 15

Implementing Artificial Neural Network training process in Python

python ai neural-network backtracking classification neurons kohonen mlp k-means neuron radial-basis-function color-quantization backtracking-algorithm rbf kohonen-network sigmoid-function neural-gas sigmoid-activation aproximation kohonen-neural-network
  • Updated Jun 8, 2020
  • Python

dataplayer12 / swish-activation

Star 13

Repo for my blogs explaining swish activation function

deep-learning swish activation sigmoid-function relu
  • Updated Dec 17, 2017
  • HTML

KhaledAshrafH / Logistic-Regression

Star 9

This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.

model logistic-regression data-preprocessing preprocessing regression-models sigmoid cost-function sigmoid-function activation-function sigmoid-activation
  • Updated Aug 24, 2023
  • Python

srilakshmi-thota / IRIS-DATASET-ANALYSIS-USING-NEURAL-NETWORK

Star 8

Neural Network with functions for forward propagation, error calculation and back propagation is built from scratch and is used to analyse the IRIS dataset.

machine-learning neural-network python3 backpropagation iris-dataset sigmoid-function sklearn-library forward-propagation
  • Updated Nov 2, 2019
  • Python

aysebilgegunduz / FeedFwBackProp

Star 7

Simple multi layer perceptron application using feed forward back propagation algorithm

machine-learning deep-learning delta momentum adaline sigmoid tanh multilayer-perceptron sigmoid-function relu
  • Updated Nov 19, 2017
  • Python

Zahra-Bakhtiari / Building-Deep-Neural-Network-Step-by-Step-Instruction

Star 6

building a deep neural network with as many layers as you want!

cost-function sigmoid-function relu deep-neural-network backward-propagation forward-propagation
  • Updated Sep 19, 2022
  • Jupyter Notebook

YeopSeung04 / Mario_DeepLearing

Star 5

유전알고리즘과 인공신경망을 활용허여 마리오 학습

deep-learning artificial-neural-networks sigmoid-function geneticalgorithm relu-activation elite-conservation
  • Updated Apr 18, 2026
  • Python

deep0892 / ml_modeling

Star 5
machine-learning linear-regression regression lstm gru gan mnist style-transfer classification mnist-classification mnist-dataset attention logistic-regression transfer-learning churn-prediction image-translation sigmoid-function tensorflow-estimator anamoly-detection tensorflow2
  • Updated Jul 2, 2021
  • Jupyter Notebook

AFAgarap / vanishing-gradients

Star 5

Avoiding the vanishing gradients problem by adding random noise and batch normalization

deep-learning artificial-intelligence batch-normalization artificial-neural-networks gradients leaky-relu sigmoid-function relu activation-functions
  • Updated Mar 25, 2023
  • Python

mb11797 / Image_Recognition_Cat_vs_Non-Cat_Pytorch

Star 4

A classifier to differentiate between Cat and Non-Cat Images

deep-neural-networks machine-learning-algorithms torch pytorch deep-learning-algorithms classification image-recognition back-propagation classifier-model sigmoid-function relu-layer cross-entropy-loss cat-vs-non-cat
  • Updated Jun 28, 2018
  • Python

shashi9170 / EEG-Classification

Star 4

EEG Classification Model using Deep Learning

transformers cnn transformer lstm gru rnn adam-optimizer eeg-analysis sigmoid-function eeg-classification eeg-signals-processing lightningmodule
  • Updated Jan 15, 2026
  • Jupyter Notebook

11808s8 / python-neural-network

Star 4

A simple neural network with backpropagation used to recognize ASCII coded characters

python neural-network ascii python3 artificial-neural-networks matplotlib backpropagation-learning-algorithm roc-curve backpropagation redes-neurais-artificiais matplotlib-figures sigmoid-function neural-net roc-plot rede-neural backpropagation-neural-network sigmoid-activation
  • Updated Dec 15, 2019
  • Python

barathvaj / Machine-Learning-From-Scratch-CodingChallenge

Star 3

Implement Linear Regression, Logistic Regression, Neural networks and many other

python machine-learning deep-learning random-forest svm linear-regression machine-learning-algorithms dropout neural-networks pca logistic-regression machinelearning gradient-descent decision-trees sigmoid-function
  • Updated Jul 10, 2018
  • Jupyter Notebook

hadpro24 / scratch-binary-linear-classification

Star 3

binary linear classification from scratch with sigmoid function based gradient decente

python machine-learning sigmoid-function classification-model
  • Updated Jun 30, 2022
  • Jupyter Notebook

bhattbhavesh91 / activiation-functions

Sponsor
Star 3

Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function

deep-learning neural-network sigmoid-function relu activation-functions
  • Updated May 29, 2021
  • Jupyter Notebook

Krishnateja244 / Vanishing_Gradient

Star 3

This repository helps in understanding vanishing gradient problem with visualization

machine-learning neural-networks deeplearning backpropagation sigmoid-function relu-activation vanishing-gradient
  • Updated Aug 29, 2022
  • Jupyter Notebook

melchisedech333 / xor-neural-network

Star 3

🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.

machine-learning deep-learning neural-network artificial-intelligence neural-networks artificial-neural-networks feedforward-neural-network gradient-descent backpropagation neural-network-example backpropagation-algorithm artificial-intelligence-algorithms back-propagation sigmoid-function xor-problem xor-neural-network feed-forward feed-forward-neural-networks backpropagation-neural-network sigmoid-activation
  • Updated Oct 17, 2022
  • JavaScript

Umartahir93 / Digit-Recognition-Using-Perception-Learning-sigmoid-activation-function-and-GA

Star 2

All pair approach to recognize handwritten digits based on the MNIST dataset.

genetic-algorithm artificial-intelligence handwritten-digit-recognition perceptron-learning-algorithm sigmoid-function
  • Updated Dec 27, 2017
  • MATLAB

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