An image recognition SVM which classifies handwriting samples.
A shallow Neural Network which processes discrete features for classification. This example looks at benign vs
malignant tumor cells. (Interactive model coming soon)
A motorized rover networked to a deep learing neural network. It compiles sensor/collision data and learns how to navigate a 3D space on a 2D plane.
A neural network which takes serveral features as inputs and predicts if an individual is likely healthy vs unhealthy. It further classifies individuals as "at-risk" for health concerns given a pre-defined time period (hyper-paramter in the model).
Based on monthly income/expenses, this deep learning algorithm computes new values for monthly expenses to improve financial stability and sustainability.
Control a 3D simulation that reacts and learns from what you do! Powered by the Unity Engine.
A machine learning algorithm which queries an input sound file and classifies the source of the audio (nature sounds, city traffic, construction, etc. )
Taking "event", "duration", and "location"
as features, this Machine Learning Algorithm generates an optimized agenda/timetable.