my lecture notes of cs231n of Andrej Karpathy

deeplearning tour

🐝 Hive of The CyberHornets 🐝

A simple linear classifier using CIFAR-10 dataset

Implementation of Machine Learning algorithms using Python3.

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

Machine Learning and Fault Detection

TensorFlow2 digits classification - Linear Classifier and MLP

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

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.

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

MNIST digit classification with a Neural Network.

A simple Flask application for data preprocessing, visualization and classification

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

Implement a classification task using the Perceptron learning algorithm.