my lecture notes of cs231n of Andrej Karpathy

deeplearning tour

A simple linear classifier using CIFAR-10 dataset

Implementation of Machine Learning algorithms using Python3.

Material for the Pattern Recognition course FYS-3012 at UiT The Arctic University of Norway

From-scratch Perceptron Learning Algorithm for binary classification, showcasing iterative weight optimization and linear decision boundary formation on labeled datasets.

The Perceptron algorithm is a fundamental linear classifier used to model binary relationships. This implementation focuses on the logical implication x1 → (x2 ∨ x3)

A framework to compute threshold sensitivity of deep networks to visual stimuli.

Machine Learning and Fault Detection

TensorFlow2 digits classification - Linear Classifier and MLP

Comparison of common loss functions in PyTorch using MNIST dataset

Con clasificación lineal podemos categorizar datos a partir de observaciones previas. Sus implementaciones va desde la detección de fraudes a segmentizar clientes. Acá te explico desde un punto matemático y teórico como se aplica. Además, hacemos una pequeña implementación.

Linear classifier using logistic regression with only 2 features for MNIST Database.

MNIST digit classification with a Neural Network.

Implementation of a Simple Perceptron (Simplest Neural network by Frank Rosenblatt) in C based on the example given example in the Veritasium video.

Ejemplo de clasificador lineal usando el perceptrón tradicional

STAT 671 Cats and Dogs Classifier Demo

Implementation of KDTree from scratch and implement kdtree classifier and linear classifier on two different datasets.

A simple Flask application for data preprocessing, visualization and classification

A Python library to implement the perceptron algorithm and possibly visualize it.

CS421: Data-Mining Course, Faculty of Engineering, Alexandria University

Multi-class classifier with only 2 features for MNIST Database.

An implementation of an Ensemble classifier of Linear classifiers using multiple processes

Natural Language Processing (COMP 550) Project

Binary Linear Classifier - AI Supervised Algorithm

A Chinese guide book for learning Tensorflow from a starter.

ANN model which predicts wine quality

No description provided.

Generating decision making algorithms by evolutionary / genetic algorithm

This repository presents a machine learning project for detecting and classifying cybersecurity threats in network traffic. It involves data preprocessing, feature engineering, and the implementation of various models to accurately identify both normal activity and multiple types of attacks such as DDoS, DoS, and MITM.