Google AutoML

Google AutoML

Suite of machine learning products developed by Google that enables people to train machine learning models.

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Edits on 16 Mar, 2020
Dawson Sewell
Dawson Sewell edited on 16 Mar, 2020
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Timeline

October 14, 2019

TensorFlow.js Integration Beta

On October 14, 2019 Google released its TensorFlow.js Integration Beta. This update allowed the exporting of AutoML Vision Edge models as TensorFlow.js packages.

October 14, 2019

Batch prediction Beta release

On October 14, 2019 Google released their batch prediction beta for their API version v1beta1. This release allows users to make batch predictions in their AutoML Vision models in the Google Cloud.

October 9, 2019

Image Classification Beta Refresh

On October 9, 2019 Google announced releasing their Image Classification Beta Refresh. A release that began allowing AutoML to support classification and object detection as model objects.

April 10, 2019

AutoML Vision Edge Beta release

On April 10, 2019 Google AutoML announced releasing AutoML Vision Edge Beta.

July 24, 2018

AutoML Vision Beta release

On July 24, 2018 Google announced releasing AutoML Vision Beta.

May 3, 2018

AutoML Vision Alpha release

On May 3, 2018 Google announced releasing the alpha version of AutoML Vision Alpha.

January 17, 2018

Launch of Google AutoML

On January 17, 2018 Google announced AutoML Vision, a new service that helps developers, including those with no machine learning expertise to build custom image recognition model.

Edits on 13 Apr, 2019
Jessica Karpinski
Jessica Karpinski edited on 13 Apr, 2019
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Industry
Machine learning
Edits on 20 Feb, 2019
Jed Christiansen
Jed Christiansen edited on 20 Feb, 2019
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Google
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Jude Gomila
Jude Gomila edited on 8 Jun, 2018
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Jude Gomila
Jude Gomila edited on 8 Jun, 2018
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Barret Zoph

Irwan Bello

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Jude Gomila
Jude Gomila edited on 15 Apr, 2018
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Further reading

Author
Title
Link

Janakiram MSV

Why AutoML Is Set To Become The Future Of Artificial Intelligence

Edits on 13 Apr, 2018
Jude Gomila
Jude Gomila edited on 13 Apr, 2018
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Google AutoML

Suite of Machinemachine Learninglearning products developed by Google that enables people to train machine learning models.

Jude Gomila"grammar corrections and removal of marketing type language"
Jude Gomila edited on 13 Apr, 2018
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Article

Google Cloud AutoML is a suite of Machinemachine Learninglearning products that enablesenable developers with limited machine learning expertise to train models. On Jan 17 2018, Google announced AutoML Vision, a new service that helps developers, including those with no machine learning (ML) expertise to build custom image recognition models.

AutoML features easily training of custom vision models, state-of-the-art performance and a simple graphical user interface that allows users to create custom machine learning model in only a few minutes.

...

It is also integrated with human labeling, by providing a team of in-house human labelers that will review images custom instructions and classify them accordingly while keeping them private. Users can leverage state of the art AutoML and transfer learning technology to produce high quality machine learning models.

AutoML features simple training of custom vision models, state-of-the-art performance and a simple graphical user interface that allows users to create custom machine learning models in only a few minutes.

...

At its core, Cloud AutoML is fully integrated with other Google Cloud services, providing customers with a consistent method of access across the entire Google Cloud service line.

It is also integrated with human labeling, by providing a team of in-house human labelers that will review images custom instructions and classify them accordingly, while keeping them private. Users can leverage AutoML and transfer learning technology to produce high quality machine learning models.

...

Cloud AutoML is integrated with other Google Cloud services, providing customers with methods of access across the Google's Cloud service line.

Jude Gomila
Jude Gomila edited on 13 Apr, 2018
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It is also integrated with human labeling, by providing a team of in-house human labelers that will review images custom instructions and classify them accordingly while keeping them private. Users can leverage state of the art AutoML and transfer learningtransfer learning technology to produce high quality machine learning models.

Carla Faraguna
Carla Faraguna edited on 13 Apr, 2018
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Article

Google Cloud AutoML is a suite of Machine LearningMachine Learning products that enables developers with limited machine learning expertise to train models. On Jan 17 2018, Google announced AutoML Vision, a new service that helps developers — including those with no machine learning (ML) expertise — build custom image recognition models.

Edits on 13 Apr, 2018
Tianchang He
Tianchang He edited on 13 Apr, 2018
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Topic thumbnail

Google AutoML

suiteSuite of Machine Learning products developed by Google that enables developers with limited machine learning expertisepeople to train machine learning models.

Article

Google Cloud AutoML is a suite of Machine Learning products that enables developers with limited machine learning expertise to train models. On Jan 17 2018, Google announced AutoML Vision, a new service that helps developers — including those with no machine learning (ML) expertise — build custom image recognition models.

AutoML features easily training of custom vision models, state-of-the-art performance and a simple graphical user interface that allows users to create custom machine learning model in only a few minutes.

It is also integrated with human labeling, by providing a team of in-house human labelers that will review images custom instructions and classify them accordingly while keeping them private. Users can leverage state of the art AutoML and transfer learning technology to produce high quality machine learning models.

At its core, Cloud AutoML is fully integrated with other Google Cloud services, providing customers with a consistent method of access across the entire Google Cloud service line.

Further reading

Author
Title
Link

Barret Zoph, Vijay Vasudevan, Jonathon Shlens and Quoc Le, Research Scientists, Google Brain Team

AutoML for large scale image classification and object detection

https://research.googleblog.com/2017/11/automl-for-large-scale-image.htmlhttps://research.googleblog.com/2017/11/automl-for-large-scale-image.html

Quoc Le & Barret Zoph, Research Scientists, Google Brain team

Using Machine Learning to Explore Neural Network Architecture

https://research.googleblog.com/2017/05/using-machine-learning-to-explore.htmlhttps://research.googleblog.com/2017/05/using-machine-learning-to-explore.html

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Tianchang He"Changed description."
Tianchang He edited on 13 Apr, 2018
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Topic thumbnail

Google AutoML

An approach developed by Google by which a controller neural net proposes a 'child' model architecture that can be trained to perform a certain task. The feedback is used to train the controller for future model architecture proposals.

suite of Machine Learning products that enables developers with limited machine learning expertise to train machine learning models.

Edits on 1 Apr, 2018
Melanie Manipula
Melanie Manipula edited on 1 Apr, 2018
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Topic thumbnail

Google AutoML

An approachedapproach developed by Google by which a controller neural net proposes a 'child' model architecture that can be trained to perform a certain task. The feedback is used to train the controller for future model architecture proposals.

Edits on 27 Mar, 2018
Jude Gomila
Jude Gomila edited on 27 Mar, 2018
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Topic thumbnail

Google AutoML

An approached developed by Google by which a controller neural net proposes a 'child' model architecture that can be trained to perform a certain task. The feedback is used to train the controller for future model architecture proposals.

Further reading

Author
Title
Link

Barret Zoph, Vijay Vasudevan, Jonathon Shlens and Quoc Le, Research Scientists, Google Brain Team

AutoML for large scale image classification and object detection

https://research.googleblog.com/2017/11/automl-for-large-scale-image.html

Quoc Le & Barret Zoph, Research Scientists, Google Brain team

Using Machine Learning to Explore Neural Network Architecture

https://research.googleblog.com/2017/05/using-machine-learning-to-explore.html

Related Topics
Edits on 1 Feb, 2018
Jude Gomila
Jude Gomila edited on 1 Feb, 2018
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Google AutoML

Suite of machine learning products developed by Google that enables people to train machine learning models.

Article

Edits on 22 Jan, 2018
Jude Gomila"Initial topic creation"
Jude Gomila created this topic on 22 Jan, 2018
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 Google AutoML

Suite of machine learning products developed by Google that enables people to train machine learning models.

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