TensorFlow: Machine learning for everyone

TensorFlow is an open source software library for numerical computation with a focus on machine learning. Its flexible architecture makes it great for research and production deployment. Sherry Moore offers a high-level introduction to TensorFlow and explains how to use it to train machine-learning models to make your next application smarter.

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in desktop, server, mobile or embedded devices with a single API. Originally developed by researchers and engineers at Google for the purposes of conducting machine-learning and deep neural networks research, TensorFlow leverages a general computational model that is applicable in a wide variety of other domains, especially for performing large-scale numerical computations on large data. Sherry Moore offers a high-level introduction to TensorFlow and explains how to use it to train machine-learning models to make your next application smarter.