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.

MNIST digit classification with a Neural Network.

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

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.

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

Binary Linear Classifier - AI Supervised Algorithm

Ejemplo de clasificador lineal usando el perceptrón tradicional