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.

Comparison of common loss functions in PyTorch using MNIST dataset

TensorFlow2 digits classification - Linear Classifier and MLP

Machine Learning and Fault Detection

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.

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

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

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

MNIST digit classification with a Neural Network.

A simple Flask application for data preprocessing, visualization and classification

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

ANN model which predicts wine quality

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

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

STAT 671 Cats and Dogs Classifier Demo