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 ...

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.

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 ...

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

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: New Thinking about Cloud Computing ...

Deep Java Library (DJL) is an open source, high-level, framework-agnostic Java API for deep learning. It is designed to be easy to get started with and simple to use for Java developers.

An open source code library for brain-inspired deep learning, called 'snnTorch,' has surpassed 100,000 downloads and is used in a wide variety of projects. A new paper details the code and offers ...

In the midst of the list of python deep learning libraries, PyTorch is reasonably new. It is considered to be a loose port of Torch library to python. This library is prominent as it is backed by ...

TensorFlow 2.0 now has a tight integration with the Python deep learning library Keras, eager execution by default, and Pythonic function execution.