Deep Learning Battle: TensorFlow 2 vs PyTorch by Dr. Jon Krohn. Visit https://rstats.ai/nyr/ to learn more. Abstract: This talk begins with a survey of the primary families of Deep Learning approaches: Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, and Deep Reinforcement Learning. Via interactive demos, the meat of the talk will appraise the two leading Deep Learning libraries: TensorFlow and PyTorch. With respect to both model development and production deployment, the strengths and weaknesses of the two libraries will be covered -- with a particular focus on TensorFlow 2 release that formally integrates the easy-to-use, high-level Keras API into the library. Bio: Jon Krohn is Chief Data Scientist at the machine learning company untapt. He is the author of the book Deep Learning Illustrated, an instant #1 bestseller in several Amazon categories. Jon holds a doctorate in neuroscience from Oxford University and has been publishing on machine learning in leading academic journals since 2010. He provides his comprehensive deep learning curriculum in-classroom at the NYC Data Science Academy and guest lectures to engineers at Columbia University. Twitter: https://twitter.com/JonKrohnLearns Presented at the 2020 R Conference | New York (August 14th, 2020)