Interactive Machine Learning Demonstrations
Welcome to our collection of interactive machine learning demos. Each demonstration allows you to experiment with different algorithms and parameters to build intuition about how they work.
Linear Regression
Explore how linear regression finds the best line through data points. Adjust parameters and see how the line changes in real-time.
Gradient Descent
Step through gradient descent one iteration at a time. Visualize how parameters evolve and track the optimization path on the cost surface.
Multi-Linear Regression
Interactive demonstration of multi-linear regression with real-time feature selection. Toggle features on and off to see their impact on model predictions.
Regularisation
Explore how higher model capacity can cause overfitting in polynomial regression and the effects of L1 and L2 regularisation to mitigate this.
1D Classification
Interactive logistic regression with adjustable decision boundaries. See how the sigmoid function creates smooth classification boundaries.
2D Classification
Multi-class classification with various boundary types (linear, polynomial, radial basis). Experiment with different decision boundary shapes.
Neural Networks
Build and train neural networks with adjustable architecture and parameters. Experiment with different layer sizes and activation functions.
Backpropagation
Step-by-step visualization of the backpropagation algorithm. Watch how gradients flow backward through the network layers.
Convolution & Pooling
Interactive exploration of CNN operations with real-time filter visualization. See how convolution and pooling operations transform images.
CNN Architecture
Complete MNIST digit classification with real PyTorch backend and epoch-by-epoch training visualization.
Recurrent Neural Networks
Discover how RNNs process sequential data step-by-step. Visualize hidden state evolution and understand the core mechanics of recurrent processing.
Attention Mechanism
Explore how attention mechanisms work through Q, K, V computations and dot-product attention. Visualize how tokens attend to each other in sequence processing.
K-Means Clustering
Interactive clustering demonstration with step-by-step k-means algorithm visualization. Add your own points and watch how centroids move to minimize within-cluster distances.
Multi-Armed Bandit
Explore the exploration vs exploitation tradeoff with interactive epsilon-greedy algorithm. Watch an agent learn to balance trying new actions with exploiting known good ones.