Big Data > TensorFlow > Algorithms supported by TensorFlow
Prominent Algorithms supported by TensorFlow
The latest stable version of TensorFlow is 2.19.0, released on March 12, 2025. Algorithm tha are included in TensorFlow are:
- Supervised Learning Algorithms: Linear Regression, Logistic Regression, Support Vector Machines (SVM), Decision Trees, Random Forests, k-Nearest Neighbors (k-NN), Gradient Boosting (e.g., XGBoost via integration)
- Deep Learning Algorithms: Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transformer Models, Autoencoders, Generative Adversarial Networks (GANs)
- Unsupervised Learning Algorithms: k-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), t-SNE (for visualization), Self-Organizing Maps (SOMs), DBSCAN
- Reinforcement Learning (via TensorFlow Agents): Q-Learning, Deep Q Networks (DQN), Policy Gradient Methods, Proximal Policy Optimization (PPO), Actor-Critic Methods (A2C, A3C)