Summary:
TensorFlow is a powerful software framework from Google used more and more for deep learning research and applications. It seamlessly executes computation on GPUs and has a convenient Python API, but aspects of its design can be unfamiliar to newcomers. We'll explore the data flow graph that defines TensorFlow computations, how to train models with gradient descent using TensorFlow, and how TensorBoard can visualize work with TensorFlow. Participants will leave with a thorough and practical understanding of the fundamentals that make TensorFlow such an attractive option and how to start using the framework with the Python API.