Kadin Zhang

Reinforcement Learning from Scratch

Image Upscaling with Super Resolution GAN Models

Achieving 0.9971 Accuracy on the MNIST Digit Database

The MNIST Database is a classic problem for machine learning: given thousands of 28x28 greyscale images of handrwitten digits along with their corresponding labels, create a model that can most acc...

An Introduction to Convolutional Neural Networks

Motivation Nowadays, Convolutional Neural Networks (also called CNNs or ConvNets) dominate fields like computer vision. They excel in anything from image classification to face recognition, and ev...

Exploring the Titanic Dataset

There’s an ongoing competition at Kaggle called Titanic: Machine Learning from Disaster where the goal is to build a model that predicts whether or not a passenger survived through data like name, ...