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.

Most deep learning books are based on one of several popular Python libraries such as TensorFlow, PyTorch, or Keras. In contrast, Grokking Deep Learning teaches you deep learning by building ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

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 ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

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 ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

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 ...

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 ...