Scikit Flow, a simplified TensorFlow interface, provides modeling and visualization techniques to get started with predictive analysis and data mining.
Learn about TensorBoard’s capabilities in visualizing learning, the challenges of using TensorFlow for embedded systems, and multi-dimensional IoT data.
This blog post compares the two solutions across seven parameters, such as distribution model, supported languages, data formats and sources, pricing, etc.
The tutorial provides instructions on how to create an AWS instance, configure TensorFlow environment, and start using a set of visualization tools—TensorBoard.
This blog post overviews the core TensorFlow entities—a graph, an operation, a tensor, and a session—to exemplify common computations made by the library.
This blog post overviews under-the-hood mechanism of TensorFlow, features end-to-end examples, and discusses the future of the project as seen by Google Brain.
