Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to ...

TensorFlow is an open source library for numerical computation and large-scale machine learning. TensorFlow bundles together a slew of machine learning and deep learning models and algorithms (aka ...

TigerGraph was designed to be able to perform deep ... graph per database, you’ll need to run DROP ALL to remove the social graph created in the GSQL 101 exercise. The GSQL Graph Algorithm ...

We will finish by learning how deep learning libraries like Tensorflow create computation graphs for gradient computation ... gaining experience with the Python library Keras. Assessments for the week ...

Also: Google Brain, Microsoft plumb the mysteries of networks with AI The paper, "Relational inductive biases, deep learning, and graph networks," posted on the arXiv pre-print service ...

UC San Francisco’s Center for Digital Health Innovation and GE Healthcare have announced a partnership to develop a library of deep learning algorithms – complex problem-solving formulas – that will ...