Josh Gordon sits down with J.J. Allaire, the founder of RStudio. They discuss TensorFlow and Keras support in R, and the educational resources available for R developers new to deep learning. Learn more about the R interface to Keras, TensorFlow Estimators, and the Core TensorFlow API that allows the R community access to many machine learning tools.

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!

Dyad X Machina is a research partnership that combines affective neuroscience and deep learning. In this episode, Laurence meets with the co-founder,  Haohan Wang, who explains Dyad’s mission as bringing emotion into machine learning.

Watch to learn more about the intersection of deep learning and affective computing and Haohan’s four P’s of learning.

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.