Over the years, TensorFlow has evolved from its beginnings as a machine learning and neural network library based on data flow graphs that had a high learning curve and a low-level API.

Xero has bolstered its machine learning capabilities for document processing and extraction using technology from Hubdoc, a company that the cloud accounting firm acquired last year for $70 ...

In a data science project, a significant effort is spent pre-processing databases, text and image data sets, before a machine learning model can be computed. Moreover, the analytic process is ...

Macroscopic fundamental diagram (MFD) captures an orderly relationship among traffic flow, density, and speed at the network level. Understanding network-wide traffic through MFDs can optimally ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

A machine learning workflow with TensorFlow. Our architecture consists of training and classification data streamed through Kafka and stored in a persistent, queryable database.

An Azure Architecture for Digitization of P&ID: Gives an overview of the project context and overall architecture.Start here to get a better sense of the project as a whole and the high level data ...