MXNet is a scalable and efficient Python library for deep learning. It provides a flexible platform for building and training deep learning models. It’s known for its speed and scalability.

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

PyTorch is a Python-based tensor computing library with high-level support for neural network architectures.It also supports offloading computation to GPUs. A product of Facebook’s AI research ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Keras, a Python-based deep learning library, was developed to enable fast experimentation and ease of use for building and training deep neural networks. It works as an interface for the machine ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use Topics Spotlight: Advancing IT Leadership ...

This is an open source distributed deep learning library for the Java Virtual Machine. For Python developers, there is Scikit, a machine learning framework used for tasks including data mining ...

Microsoft and Amazon have partnered up again, this time collaborating on the formation of 'Gluon', a new deep learning interface which makes deep learning accessible to all developers.