What is Modular Neural Networks?

Skill Level:

Modular Neural Networks are AI models composed of smaller interconnected modules, each responsible for a specific sub-task or component. These modular architectures allow for easier interpretation, flexibility, and scalability. Modular neural networks have applications in areas like computer vision, natural language processing, and robotics.

Other Definitions

One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks…
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…
Federated Learning is a privacy-preserving technique where AI models are trained across multiple decentralised devices or systems without sharing raw data. Instead, only aggregated…
Support Vector Machines (SVMs) are Machine Learning algorithms used for classification and regression tasks. SVMs create decision boundaries and maximise the margin between different…