Neural Networks

Keras is an open-source deep learning API written in Python, designed to simplify the construction and training of neural networks. Its user-friendly design, modular structure, and multi-backend support enable developers to efficiently develop and deploy deep learning models.

Caffe is an open-source deep learning framework developed by the University of California, Berkeley, known for its efficiency, flexibility, and modular design, widely used in image classification, speech recognition, and other fields.

Apache MXNet is an open-source deep learning framework supporting multiple programming languages and devices, offering flexible programming models and efficient distributed training capabilities.

Elements of AI is a free online course developed jointly by the University of Helsinki and MinnaLearn, aiming to popularize basic knowledge of artificial intelligence to learners worldwide. It is suitable for users without technical backgrounds and offers a flexible learning experience.

Brilliant's 'Introduction to Neural Networks' course offers interactive learning to help users deeply understand the fundamental concepts and applications of artificial neural networks, suitable for those interested in AI and machine learning.