Pre-trained neural network libraries provide ready-to-use models that save time and computational resources. Examples include TensorFlow Hub, PyTorch Hub, and Hugging Face Transformers. These libraries offer models like BERT for NLP or ResNet for image recognition.
Pre-trained models are beneficial for transfer learning, where a general-purpose model is fine-tuned for a specific task. For instance, using MobileNet for mobile-friendly image classification can reduce the data and time needed for training.
These libraries also ensure community-driven updates and compatibility with popular frameworks. Their modular design allows developers to experiment, deploy, and iterate quickly without starting from scratch.