Machine Learning Algorithms
Explore mathematical foundations of ML including neural networks, gradient descent, and optimization techniques through interactive visualizations.
Core Mathematical Concepts
Neural Networks
Explore backpropagation, activation functions, and layer architectures with interactive weight visualization.
Try Neural Network SimulatorOptimization Algorithms
Analyze gradient descent, conjugate gradients, and stochastic techniques with real-time loss tracking.
Explore Optimization ModelsProbabilistic Models
Work with Bayes' theorem, Markov chains, and hidden state modeling through interactive probability distributions.
View Probability ToolsInteractive Learning Tools
Hands-on visualizations to understand complex machine learning concepts and algorithms through interactive exploration.
Neural Network Visualizer
Modify layer sizes, activation functions, and see the impact on model accuracy in real-time.
Launch VisualizerLoss Function Explorer
Visualize different loss functions and understand how they affect convergence behavior.
Explore Loss FunctionsReal-World Applications
Computer Vision
Analyze image classification models and CNN architectures through interactive examples.
Natural Language
Explore word embeddings, transformer models, and language pattern analysis tools.
Reinforcement
Simulate decision-making processes in self-driving cars and game AI systems.
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