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TensorFlow World 2019 Day 1 Livestream

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Sign in to report inappropriate content. O'Reilly and TensorFlow are teaming up to present the first TensorFlow World. It brings together the growing TensorFlow community to learn from each other and explore new ideas, techniques, and approaches in deep and machine learning. Be among the first to hear about the latest developments, discover intriguing use cases, reverse engineer successful case studies, and see what TensorFlow 2.0 will bring.


TensorFlow

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O'Reilly and TensorFlow are teaming up to present the first TensorFlow World. It brings together the growing TensorFlow community to learn from each other and explore new ideas, techniques, and approaches in deep and machine learning.


Live Coding A Machine Learning Model from Scratch (Google I/O'19)

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Do you want to build a machine learning model, but not sure where to start? In this session, learn how to start with an empty Colab notebook, code a model using TensorFlow and Keras, train the model live, deploy it to Cloud AI Platform for serving, and use the deployed model to generate predictions from a web app.


Nazirini's story - using machine learning to tackle crop disease

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Sign in to report inappropriate content. An incredible human story of the Ugandan developer, Nazirini Siraji, and the app created by her small team in Mbale, Uganda, with learning from their local Google Developer Group community. Harnessing the power of TensorFlow and Machine Learning, this free app helps farmers identify and treat Fall Armyworm, reducing the massive crop devastation currently impacting Uganda and Africa. Find your local GDG chapter https://goo.gle/33ER1Kd


Powered by TensorFlow: Helping doctors detect respiratory diseases using machine learning

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Sign in to report inappropriate content. Machine learning is helping to solve challenging, real-world problems around the world. See how Tambua Health (https://www.tambuahealth.com/) is using machine learning, powered by TensorFlow, to help doctors determine the likelihood of respiratory diseases.