Estimators Revisited: Deep Neural Networks

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Опубликовано 28 сентября 2017, 18:59
In this episode of AI Adventures, Yufeng explains how to build models for more complex datasets, using TensorFlow to build deep neural networks!

Learn more through our hands-on labs → goo.gle/3etBEcl

Associated Medium post "Estimators revisited: Deep Neural Networks": goo.gl/eQxgAa
DNNClassifier: goo.gl/2aee5a
Code from this episode: goo.gl/fJwzWY
Iris Dataset: goo.gl/UtccyH

Watch more episodes of AI Adventures: goo.gl/UC5usG

Subscribe to get all the episodes as they come out: goo.gl/S0AS51

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