TensorFlow 2.0: An Overview (#AskTensorFlow)

TensorFlow 2.0: An Overview (#AskTensorFlow) [Collection] Developer Advocate Paige Bailey (@DynamicWebPaige) and TF Software Engineer Alex Passos answer your #AskTensorFlow questions. Learn about the latest improvements to TensorFlow Core in TF 2.0, how to create custom layers with tf.keras, differences between Keras and tf.keras, and compatibility with Keras and Python 3.7. Remember to use #AskTensorFlow to have your questions answered in a future episode! Get started with TensorFlow 2.0 → http://bit.ly/2IeWT3e Join the TensorFlow community → http://bit.ly/2Wqv81N tf.estimator.BoostedTreesRegressor → http://bit.ly/2WqP0lk tf.estimator.BoostedTreesClassifier → http://bit.ly/2Mywz9I tf.contrib → http://bit.ly/2XzSGOi Binaries for Python 3.7 → http://bit.ly/2My40cH Support model for Keras → http://bit.ly/2ZbXKc0 tf.keras → http://bit.ly/31dVeDU TensorFlow probability → http://bit.ly/2XvPymB TensorFlow probability presentation → http://bit.ly/2ImVXtS Custom layers in tf.keras → http://bit.ly/2QVbg0w SavedModel → http://bit.ly/2R3fzHz This video is also subtitled in Chinese, Indonesian, Italian, French, German, Japanese, Korean, Portuguese, and Spanish. Subscribe to the TensorFlow channel → http://bit.ly/TensorFlow1 Watch more episodes of #AskTensorFlow → http://bit.ly/2JcL3tT