Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models.

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

Data scientists can program machine learning algorithms using a range of technologies and languages, including Java, Python, Scala, other others. They can also use pre-built machine learning ...

Discover the best deep learning software for training and deploying neural networks with powerful features and customizable options.

All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

Python is a popular programming language for deep learning due to its simplicity, flexibility, and the availability of a vast array of open-source libraries.

Skymind, a company developing an open-source deep-learning library for Java, along with tools for implementation, today closed $3 million in ...

What is machine learning, and why does it matter? Machine learning is an approach to artificial intelligence that’s focused on making machines which can learn without being explicitly programmed.

Fast.ai today announced the 1.0 version of fastai, a free, open source deep learning library that runs on top of Facebook's PyTorch framework.