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.

Google used TensorFlow to build its Magenta project, which aims to advance machine generated art, and recently released a 90-second piano melody created solely by a neural network.

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.

TensorFlow is a library of pre-built portions of neural network code with easy-to-use tools to customize them deeply, and add to them with as much flexibility as possible.

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 ...

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 ...

Tech pundit Tim O'Reilly had just tried the new Google Photos app, and he was amazed by the depth of its artificial intelligence.. O'Reilly was standing a few feet from Google CEO and co-founder ...