Machine Learning & AI
Advanced machine learning calculations for neural networks, model performance, optimization, and AI metrics.
Neural Network Parameters Calculator
Calculate total parameters, weights, biases, and memory requirements for neural network architectures.
Model Performance Metrics Calculator
Calculate accuracy, precision, recall, F1 score, MCC, AUC, and other classification performance metrics.
Gradient Descent Calculator
Calculate gradient descent parameters, convergence rate, effective learning rate, and training time estimates.
Backpropagation Calculator
Calculate backpropagation computational complexity, memory requirements, and operations for neural networks.
Cross-Validation Calculator
Calculate k-fold cross-validation splits, train-test splits, and data utilization for machine learning.
Overfitting Calculator
Calculate overfitting metrics, generalization gap, bias-variance trade-off, and model complexity analysis.
Information Gain Calculator
Calculate information gain, gain ratio, Gini gain, and feature importance for decision trees.
Bayesian Inference Calculator
Calculate posterior probability, Bayes factor, likelihood ratio, and evidence strength using Bayes' theorem.
Support Vector Machine Calculator
Calculate SVM parameters, support vectors, margin width, and complexity for support vector machines.
Optimization Calculator
Calculate optimization convergence, computational cost, efficiency, and memory requirements for ML optimizers.
Neural Network Trainer Calculator
Complete neural network training analysis. Architecture design, learning rates, batch sizes, regularization, and activation functions.
Model Performance Calculator
Complete ML model evaluation. Classification metrics, regression analysis, cross-validation, ROC/AUC curves, and model comparison.
ML Algorithms Suite Calculator
Complete ML algorithm analysis. KNN, decision trees, random forests, SVMs, clustering, and gradient boosting parameters and complexity.