Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process ...

Google’s TensorFlow team released TensorFlow Lattice today to help developers ensure that their machine learning models adhere to global trends even when training data is noisy. Lattice draws ...

The newly announced TensorFlow Hub is a library designed for publishing, discovering, and consuming reusable parts of machine learning models. “Modules contain weights that have been pre-trained ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

machine learning and deep learning. Horovod optimizes model training across multiple GPUs with minimal changes to the code. It supports popular deep learning frameworks such as TensorFlow ...

Machine learning isn’t something you buy but ... training to build complex—and sometimes useful—models.” With TensorFlow and other open source projects like it, teams can acquire new ...

This PyTorch vs TensorFlow guide will provide more insight into both but each offers a powerful platform for designing and deploying machine learning models. Although they come with their unique ...

It is designed to facilitate the creation and improvement of AI and machine learning models. Key concepts and features of TensorFlow include: Tensors: Multi-dimensional arrays or complex arrays ...

TensorFlow an open source program used to quickly develop machine learning models / Unsplash You don’t always need a huge investment in tech to realize the benefits of AI. Sometimes, the key to ...