Amazon goes open source with machine-learning tech, competing with Google’s TensorFlow. by James Risley on May 16, 2016 at 10:40 am May 16, 2016 at 10:56 am. Share 5 Tweet Share Reddit Email.

The company is also rolling out a series of open-source machine learning (ML) technology updates and enhancements for the growing TensorFlow ecosystem.

You’ve likely used products shaped by Google’s machine learning system. The neural network has helped Google understand the subject in each Google Photos upload and what you’re saying when ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

By abstracting away the complexity of distributed machine learning, H2O makes it easy for organizations to build data models and workflows using popular languages such as R, Python, Scala, and ...

Released under the Apache 2.0 license, TensorFlow aims to showcase Google's accomplishments in the machine learning field to the masses. The bar to entry on TensorFlow is also small, able to run ...

TensorFlow was originally a deep learning research project of the Google Brain Team that has since become–by way of collaboration with 50 teams at Google–an open source library deployed across ...

Isolating the vocals from songs can be a tricky and time consuming task. A new open-source AI tool named Spleeter built by music streaming company Deezer makes the task much quicker and faster.

Ever since Google created Kubernetes as an open source container orchestration tool, ... Kubeflow lets machine learning teams take existing jobs and simply attach them to a cluster without a lot ...

For starters, it developed an open-source project, but today the startup announced an expanded beta of a new commercial offering and $35 million in Series B funding.