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 ...

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 ...

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 If you looked at TensorFlow as a deep learning framework ...

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 ...

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 ...

Google launched TensorFlow Serving today, a new open source project that aims to help developers take their machine learning models into production. Unsurprisingly, TensorFlow Serving is ...

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 ...