Highlights: In this post we will learn what is TensorBoard and how to use it. For most people, neural networks can sometimes be a bit of black box. Debugging problems is also a lot easier when we can see what the problem is. Thankfully, TensorBoard is a tool that will help us to analyze neural networks and to visualize learning. The idea of TensorBoard is to help to understand the flow of tensors in our model in order to debug and optimize the model.

Machine learning models, especially deep learning ones, can be complex. Chi Zeng walks us through how to debug, monitor, and examine the decisions of a TensorFlow-based model using the TensorBoard suite of visualizations. Chi Zeng works on the TensorBoard suite of visualizations within Google Brain. This video was recorded at QCon.ai 2018: bit.ly/2piRtLl The next QCon is in New York, June 25-29, 2018.