linear-classifier

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

A simple Flask application for data preprocessing, visualization and classification

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

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