Data Scarcity
Data scarcity refers to insufficient data for training machine learning models or comprehensive analysis, hindering the development of accurate AI systems. Disc...
8 min read
AI
Data Scarcity
+5
Transfer Learning
Extensibility
AI Extensibility refers to the ability of AI systems to expand their capabilities to new domains, tasks, and datasets without major retraining, using techniques...
5 min read
AI
Extensibility
+4
Few-Shot Learning
Few-Shot Learning is a machine learning approach that enables models to make accurate predictions using only a small number of labeled examples. Unlike traditio...
6 min read
Few-Shot Learning
Machine Learning
+3
Fine-Tuning
Model fine-tuning adapts pre-trained models for new tasks by making minor adjustments, reducing data and resource needs. Learn how fine-tuning leverages transfe...
7 min read
Fine-Tuning
Transfer Learning
+6
Transfer Learning
Transfer learning is a sophisticated machine learning technique that enables models trained on one task to be reused for a related task, improving efficiency an...
3 min read
AI
Machine Learning
+3
Transfer Learning
Transfer Learning is a powerful AI/ML technique that adapts pre-trained models to new tasks, improving performance with limited data and enhancing efficiency ac...
3 min read
AI
Machine Learning
+4
What is Fastai?
Fastai is a deep learning library built on PyTorch, offering high-level APIs, transfer learning, and a layered architecture to simplify neural network developme...
10 min read
Fastai
Deep Learning
+5
Zero-Shot Learning
Zero-Shot Learning is a method in AI where a model recognizes objects or data categories without having been explicitly trained on those categories, using seman...
2 min read
Zero-Shot Learning
AI
+3