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!
Laurence Moroney sits down with Patrick Brandt, who is part of the Marketing Operations team at Coca-Cola North America. Learn about how TensorFlow was used to run one of Coca-Cola’s biggest digital marketing campaigns, which involved image classification using deep neural networks for coca-cola bottle caps.
Aurélien Géron has provided a brief overview of what’s coming in TensorFlow 2.0 such as eager execution by default, simple tools for graph mode, more object-oriented design (e.g., Keras), big cleanup, and more!
The technology in this video is not only relevant and cutting edge, but it reads like a who’s who and what’s what of the hottest buzzwords around today: Cryptocurrenncy, Python, TensorFlow, Keras.
In all all seriousness, this is a really good demo and exploration of said technologies.
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.
TensorBoard is a suite of visualization tools that make it easier to understand, debug, and optimize TensorFlow programs.
Developer Advocate Laurence Moroney speaks with Justine Tunney, the dev lead for TensorBoard, about how the debugger plugin gives you an x-ray into your models.
Siraj Raval demonstrates how to use TensorFlow to track people’s facial expressions and body positions with a regular webcam.
Siraj Raval explores the use of AI in classifying diseases in medical imagining.
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Android nougat begins rolling out to nexus
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