Building and creating Neural Networks is mainly associated with such languages/environments as Python, R, or Matlab. However, there have been some new possibilities in the last few years.

A subcategory of machine learning, deep learning uses multi-layered neural networks to automate historically difficult machine tasks—such as image recognition, natural language processing (NLP ...

The neural network has helped Google understand the subject in each Google Photos upload and what you’re saying when you talk to your Android phone. It’s even helped improve search results.

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.

CEVA's 2nd Generation Neural Network Software Framework Extends Support for Artificial Intelligence Including Google's TensorFlow LAS VEGAS, Jun. 27, 2016 – CEVA, Inc. (NASDAQ: CEVA), the leading ...

Google’s DeepMind announced today that it was open sourcing Sonnet, its object-oriented neural network library. Sonnet doesn’t replace TensorFlow, it’s simply a higher-level library that ...