Advanced AI Concepts: Transfer Learning, GANs and More

In-depth terms with technical applications and examples.

1. Transfer Learning: Using pre-trained models for related tasks.
   • Example: Fine-tuning a language model for sentiment analysis.
2. Generative Adversarial Network (GAN): Two neural networks generating and evaluating content.
   • Example: Generating realistic deepfake videos.
3. Hyperparameter Tuning: Optimizing model settings for performance.
   • Example: Adjusting learning rates in deep learning to improve accuracy.
4. Zero-Shot Learning: AI handling tasks without prior training.
   • Example: Identifying a new product in an e-commerce inventory.
5. Federated Learning: Training models across devices while keeping data local.
   • Example: AI models improving predictive text across smartphones.
6. Bayesian Network: Probabilistic models for representing variable relationships.
   • Example: Predicting disease progression in medical studies.
7. Adversarial AI: Techniques that expose vulnerabilities in AI models.
   • Example: Slightly altering an image to make a vision system misclassify it.
8. Swarm Intelligence: AI inspired by social organisms like ants or bees.
   • Example: Drones coordinating to map disaster areas efficiently.
9. Epoch: A full pass through the training dataset.
   • Example: Training image recognition models through repeated dataset passes.
10. Perceptron: A simple neural network for binary classification.
    • Example: Classifying emails as spam or not spam.