Deep Learning Battle: TensorFlow 2 vs. PyTorch

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.

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