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deeplearning tour
my lecture notes of cs231n of Andrej Karpathy
🐝 Hive of The CyberHornets 🐝
A simple linear classifier using CIFAR-10 dataset
Comparison of common loss functions in PyTorch using MNIST dataset
TensorFlow2 digits classification - Linear Classifier and MLP
Linear classifier using logistic regression with only 2 features for MNIST Database.
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.
An implementation of an Ensemble classifier of Linear classifiers using multiple processes
A Chinese guide book for learning Tensorflow from a starter.
Implementation of a Simple Perceptron (Simplest Neural network by Frank Rosenblatt) in C based on the example given example in the Veritasium video.
STAT 671 Cats and Dogs Classifier Demo
ANN model which predicts wine quality
Multi-class classifier with only 2 features for MNIST Database.
Binary Linear Classifier - AI Supervised Algorithm
Generating decision making algorithms by evolutionary / genetic algorithm
A Python library to implement the perceptron algorithm and possibly visualize it.
Implementation of KDTree from scratch and implement kdtree classifier and linear classifier on two different datasets.
MNIST digit classification with a Neural Network.
Ejemplo de clasificador lineal usando el perceptrón tradicional
Natural Language Processing (COMP 550) Project
A simple Flask application for data preprocessing, visualization and classification
CS421: Data-Mining Course, Faculty of Engineering, Alexandria University
Deep learning projects
Labs of GPU programming in C
The Analysis of a Linear Classifier Developed through Particle Swarm Optimization
Predict Career Longevity for NBA Rookies
A comparison between SVM and Logistic Regression models based on the linear classification problem.
Using a perceptron to classify three different classes in a dataset.
Approach to some basic Machine Learning Techniques.
A Flash based backend api which runs a liner classifier model to predict closing price.
Al-Engineering-Al-Capstone-Project-with-Deep-Learning-