Quick Overview: In this talk we'll go over some interesting features of This is the second lecture in the series of tutorials on This is the third lecture in the series of tutorials on

Research With Tensorflow Tf Dev - Detailed Overview & Context

In this talk we'll go over some interesting features of This is the second lecture in the series of tutorials on This is the third lecture in the series of tutorials on This is the second part of the fifth lecture in the series of tutorials on Megan Kacholia is an Engineering Director on the Google Brain team, focusing on JAX is a Python package that combines a NumPy-like API with a set of powerful composable transformations for automatic ...

Natural Language Processing (NLP) has hit an inflection point, and this talk shows you how Recently, Kaggle introduced TPU support through its competition platform. This talk touches on how Kaggler competitors ... Neural Structured Learning is an easy-to-use, open-sourced Deep learning models now emerge in multiple domains. The question data scientists and users always ask is "Why does it work?".

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Research with TensorFlow (TF Dev Summit '20)
Tensorflow for Deep Learning Research - Lecture 1
Tensorflow for Deep Learning Research - Lecture 2
Tensorflow for Deep Learning Research - Lecture 3
Tensorflow for Deep Learning Research - Lecture 5_2
TensorFlow Datasets (TF Dev Summit '19)
Using TensorFlow to enable research & production across many fields (TensorFlow Meets)
Working with TensorFlow Datasets (TensorFlow Meets)
Intro to JAX: Accelerating Machine Learning research
Affective Deep Learning Research (TensorFlow Meets)
Learning to read with TensorFlow and Keras (TF Dev Summit '20)
TF 2.x on Kaggle (TF Dev Summit '20)
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