TensorFlow Meets Chip Huyen (@chipro), author and instructor of the TensorFlow for Deep Learning class at Stanford University: https://goo.gl/rNb6PW. In this video, she discusses the class, her journey from writing travel stories, to studying computer science, to now teaching students about deep learning at Stanford University!

Machine learning models, especially deep learning ones, can be complex.

In this video from QCon.ai 2018, 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.

In this episode of the AI Show, Micheleen Harris dives into when and why one would use deep learning over classical machine learning.

While many tasks can be performed cheaply and well with classical machine learning and packages like scikit-learn, every once in a while, a task is better suited for a neural network architecture implemented with deep learning methods – e.g. large amounts of data or insufficient accuracy with other methods.  Watch to find out more and hear about some Python packages to make life easier.