Media Summary: 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 Analysis & 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 JAX is a Python package that combines a NumPy-like API with a set of powerful composable transformations for automaticĀ ... Megan Kacholia is an Engineering Director on the Google Brain team, focusing on This is the second part of the fifth lecture in the series of tutorials on

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 competitorsĀ ...

Photo Gallery

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

Research with TensorFlow (TF Dev Summit '20)

In this talk we'll go over some interesting features of

Tensorflow for Deep Learning Research - Lecture 1

Tensorflow for Deep Learning Research - Lecture 1

These series of tutorials on

Tensorflow for Deep Learning Research - Lecture 2

Tensorflow for Deep Learning Research - Lecture 2

This is the second lecture in the series of tutorials on

Tensorflow for Deep Learning Research - Lecture 3

Tensorflow for Deep Learning Research - Lecture 3

This is the third lecture in the series of tutorials on

Intro to JAX: Accelerating Machine Learning research

Intro to JAX: Accelerating Machine Learning research

JAX is a Python package that combines a NumPy-like API with a set of powerful composable transformations for automaticĀ ...

Using TensorFlow to enable research & production across many fields (TensorFlow Meets)

Using TensorFlow to enable research & production across many fields (TensorFlow Meets)

Megan Kacholia is an Engineering Director on the Google Brain team, focusing on

Tensorflow for Deep Learning Research - Lecture 5_2

Tensorflow for Deep Learning Research - Lecture 5_2

This is the second part of the fifth lecture in the series of tutorials on

TensorFlow Datasets (TF Dev Summit '19)

TensorFlow Datasets (TF Dev Summit '19)

TensorFlow

Affective Deep Learning Research (TensorFlow Meets)

Affective Deep Learning Research (TensorFlow Meets)

In this episode of

Working with TensorFlow Datasets (TensorFlow Meets)

Working with TensorFlow Datasets (TensorFlow Meets)

On this episode of

Learning to read with TensorFlow and Keras (TF Dev Summit '20)

Learning to read with TensorFlow and Keras (TF Dev Summit '20)

Natural Language Processing (NLP) has hit an inflection point, and this talk shows you how

TF 2.x on Kaggle (TF Dev Summit '20)

TF 2.x on Kaggle (TF Dev Summit '20)

Recently, Kaggle introduced TPU support through its competition platform. This talk touches on how Kaggler competitorsĀ ...

Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19)

Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19)

TensorFlow's tf