Learn what's behind the architecture of a convolutional neural network, how it can be implemented with TensorFlow, how to visualize graphs with TensorBoard, etc.
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.
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.
