# What are the most popular frameworks for neural networks?

Source: https://zilliz.com/ai-faq/what-are-the-most-popular-frameworks-for-neural-networks
Author: zilliz

Popular frameworks for neural networks include TensorFlow, PyTorch, and Keras. TensorFlow, developed by Google, is widely used for large-scale production and research. PyTorch, preferred in academic circles, offers a flexible and dynamic computation graph. 

Keras, built on TensorFlow, provides a high-level API for rapid prototyping. Other frameworks like MXNet, CNTK, and JAX cater to specific needs like distributed training or gradient-based optimization. 

The choice of framework depends on factors like ease of use, community support, and compatibility with existing tools. Many developers opt for frameworks with extensive libraries and pre-trained models.