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: New Thinking about Cloud Computing ...

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 ...

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 ...

Deep Learning with Yacine. Deep Neural Network From Scratch in Python ¦ Fully Connected Feedforward Neural Network. Posted: May 29, 2025 | Last updated: May 29, 2025 ...