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TensorFlow 2.0 - TensorFlow Strikes Back
YouTube·EuroPython
Explore the latest features of TensorFlow 2.0 in this 43-minute EuroPython Conference talk. Delve into the framework's evolution, focusing on Keras as the new standard API, Eager Mode & Graph execution, production pipeline improvements, and the extended ecosystem. Learn how TensorFlow 2.0 addresses previous usability challenges while maintaining its strengths in performance and scalability. Gain insights into the modernized, Pythonic API that rivals competitors like PyTorch, and discover how these changes benefit both researchers and practitioners in the field of deep learning and data science. Examine practical examples of model specification, data handling, training processes, and exporting models using the new TensorFlow 2.0 paradigm.