https://github.com/harismuneer/Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

🏆 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.

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

Last synced: 16 Jul 2025

https://github.com/harismuneer/handwritten-digits-classification-using-knn-multiclass_perceptron-svm

🏆 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.

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

Last synced: 09 Apr 2025

https://github.com/juliaszymanska/artificial-intelligence

Implementing Artificial Neural Network training process in Python

ai aproximation backtracking backtracking-algorithm classification color-quantization k-means kohonen kohonen-network kohonen-neural-network mlp neural-gas neural-network neuron neurons python radial-basis-function rbf sigmoid-activation sigmoid-function

Last synced: 12 Apr 2025

https://github.com/dataplayer12/swish-activation

Repo for my blogs explaining swish activation function

activation deep-learning relu sigmoid-function swish

Last synced: 16 Mar 2025

https://github.com/khaledashrafh/logistic-regression

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.

activation-function cost-function data-preprocessing logistic-regression model preprocessing regression-models sigmoid sigmoid-activation sigmoid-function

Last synced: 17 Oct 2025

https://github.com/bhattbhavesh91/activiation-functions

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

activation-functions deep-learning neural-network relu sigmoid-function

Last synced: 25 Sep 2025

https://github.com/melchisedech333/xor-neural-network

🤖 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.

artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks back-propagation backpropagation backpropagation-algorithm backpropagation-neural-network deep-learning feed-forward feed-forward-neural-networks feedforward-neural-network gradient-descent machine-learning neural-network neural-network-example neural-networks sigmoid-activation sigmoid-function xor-neural-network xor-problem

Last synced: 29 Mar 2025

https://github.com/nazli-d/binary-classification-using-cnn

This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.

binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow

Last synced: 21 Feb 2025

https://github.com/abhishek010397/logisticregression

Using Logistic Regression Classifier to Predict Target Using Three Features

csv iloc logistic-regression machine-learning numpy pandas-dataframe python3 sigmoid-function sklearn

Last synced: 09 Apr 2025

https://github.com/harshpatel44/sigmoid-neural-net-classifier

This repository contains Python notebook which contains creation of simple neural network. I have used synthesised 2 cluster dataset to train the network and test it.

backpropagation classification-algorithm deep-learning machine-learning neural-network sigmoid-function

Last synced: 18 Mar 2025

https://github.com/hediyeorhan/logisticregressionwitharduino

accuracy activation-functions arduino-uno artificial-intelligence backpropagation dataprocessing datasets f1-score logistic-regression loss machine-learning mse performance-metrics precision recall sigmoid-function timer timer-interrupt

Last synced: 01 Mar 2025

https://github.com/daodavid/classic-ml

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

baysian cross-entropy entropy gradient-descent information-gain k-fold-cross-validation lasso-regression linear machine-learning maximum-likelihood-estimation naive-bayes-classifier pca principle-component-analysis probability python regression ridge-regression sigmoid-function softmax-regression suprise

Last synced: 04 Dec 2025

https://github.com/lrmulkayhee/rbm-neural-net-project

This repository focuses on implementing and experimenting with Restricted Boltzmann Machines (RBMs) for reconstructing noisy numeral images. It explores various activation functions, training methodologies, and hyperparameter optimizations to improve RBM performance.

activation-function-exploration contrastive-divergence leaky-relu noise-handling reconstruction-error relu sigmoid-function visualization

Last synced: 04 May 2025

https://github.com/pngo1997/neural-network-modifications-hyperparameter-experiments

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

activation deep-learning dropout-rates epoch hyperparameter-optimization leaky-relu neural-network neural-network-training python regularization relu sigmoid-function tanh

Last synced: 28 Feb 2025

https://github.com/khushi130404/logistic_regression

This repository demonstrates logistic regression using step and sigmoid functions, gradient descent, and sklearn for comparison. It includes visualizations and comparisons to provide a clear understanding of the model.

gradient-descent logistic-regression sigmoid-function sklearn step-functions

Last synced: 05 Oct 2025

https://github.com/muhammadakmal137/pytorch_training_pipeline_using_dataset_and_dataloader_class.ipynb

Binary classification of breast cancer using PyTorch. Used StandardScaler, LabelEncoder, Dataset, DataLoader, custom nn.Module model, BCELoss, and SGD. Focused on implementing a complete training pipeline, not optimizing accuracy.

ai-healthcare bcelosses binary-classification breast-cancer classification dataset deep-learning labelencoder machine-learing nn-module preprocessing pytorch sigmoid-function standardscaler

Last synced: 07 Oct 2025

https://github.com/juzershakir/logistic_regression

A Mathematical Intuition behind Logistic Regression Algorithm

algorithm bias-variance cost-function gradient-descent hypothesis logarithmic-regression logarithms logistic-function logistic-regression machine-learning multiclass-classification overfitting probability regularized-logistic-regression sigmoid-function

Last synced: 02 Jan 2026

https://github.com/martinkersner/ann-meetup

Practice of implementing Multilayer Perceptron trained with Stochastic Gradient Descent for Seoul AI Meetup on June 25, 2017.

artificial-intelligence artificial-neural-networks keras mnist multilayer-perceptron-network sigmoid-function stochastic-gradient-descent

Last synced: 21 Feb 2025

https://github.com/ritzvik/simpleneuralnetwork

deep-learning dense-neural-network least-square-regression minimization neural-network numpy python sigmoid-function

Last synced: 22 Dec 2025

https://github.com/tahirzia-1/neural-networks-mnist-in-python

Implementations of neural networks in python for the classification of MNIST datasets.

ai artificial-intelligence ipynb ipynb-jupyter-notebook mnist mnist-classification mnist-dataset networks neural python relu relu-activation sigmoid sigmoid-function softmax softmax-function tensorflow

Last synced: 05 Mar 2025

https://github.com/saifalibaig/multi-label-emotion-recognition

This project focuses on detecting multiple emotions from English text using a fine-tuned **BERT** model. It leverages the [GoEmotions](https://huggingface.co/datasets/go_emotions) dataset — a large-scale human-annotated dataset of Reddit comments labeled with 27 emotions + neutral.

artificial-intelligence bert-model feature-engineering huggingface jupyter-notebook label-encoding machine-learning-algorithms preprocessing python3 sigmoid-function transformation

Last synced: 15 Apr 2025

https://github.com/alisatodorova/ml-groupwork-2

Group work on MultiLayer Perceptron (MLP) and Hyperparameters Optimization

binary-cross-entropy-loss hyperparameter-optimization machine-learning mlp multilayer-perceptron relu sigmoid-function

Last synced: 15 Mar 2025

https://github.com/maheera421/supervised-machine-learning

Implementation of necessary supervised machine learning algorithms for regression and classification.

classification classification-models cost-function feature-engineering feature-scaling gradient-descent linear-function linear-regression logistic-loss logistic-regression machine-learning matplotlib numpy regression-models regularization-to-avoid-overfitting scikit-learn sigmoid-function squared-error-cost-function vectorization

Last synced: 12 Oct 2025