AdaNet - Revision history

BPeat: Text replacement - "http://" to "https://"

2023-03-28T01:07:29Z

Text replacement - "http://" to "https://"

BPeat at 00:04, 28 September 2020

2020-09-28T00:04:34Z

BPeat at 00:40, 6 March 2019

2019-03-06T00:40:17Z

BPeat at 03:24, 25 February 2019

2019-02-25T03:24:34Z

BPeat at 03:21, 25 February 2019

2019-02-25T03:21:42Z

BPeat: Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

2019-02-25T03:19:31Z

Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

New page

{{#seo:
|title=PRIMO.ai
|titlemode=append
|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
}}
[http://www.youtube.com/results?search_query=AdaNet+ensemble+AutoML+artificial+intelligence YouTube search...]
[http://www.google.com/search?q=AdaNet+ensemble+AutoML+deep+machine+learning+ML+artificial+intelligence ...Google search]

* [[AdaNet]]
* [[Automated Machine Learning (AML) - AutoML]]

a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on our recent reinforcement learning and evolutionary-based AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture, but also for learning to ensemble to obtain even better models.
AdaNet is easy to use, and creates high-quality models, saving ML practitioners the time normally spent selecting optimal neural network architectures, implementing an adaptive algorithm for learning a neural architecture as an ensemble of subnetworks. AdaNet is capable of adding subnetworks of different depths and widths to create a diverse ensemble, and trade off performance improvement with the number of parameters. [http://ai.googleblog.com/2018/10/introducing-adanet-fast-and-flexible.html Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees | Charles Weill]

http://2.bp.blogspot.com/-MXSy_I9M6nI/W9cx1LsFKRI/AAAAAAAADdc/HSFi3QnzgNwv5ovScFkLKUT9vyhAqVu2QCLcBGAs/s400/image1.gif

<youtube>3jX-f06Ke74</youtube>

@@ Line 9: / Line 9: @@
 * [[AdaNet]]
-* [[Automated Machine Learning (AML) - AutoML]]
+* [[Algorithm Administration#Automated Learning|Automated Learning]]
 * [[Reinforcement Learning (RL)]]

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=AdaNet+ensemble+AutoML+artificial+intelligence YouTube search...]
+[https://www.youtube.com/results?search_query=AdaNet+ensemble+AutoML+artificial+intelligence YouTube search...]
-[http://www.google.com/search?q=AdaNet+ensemble+AutoML+deep+machine+learning+ML+artificial+intelligence ...Google search]
+[https://www.google.com/search?q=AdaNet+ensemble+AutoML+deep+machine+learning+ML+artificial+intelligence ...Google search]
 * [[AdaNet]]
@@ Line 13: / Line 13: @@
 a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on our recent reinforcement learning and evolutionary-based AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture, but also for learning to ensemble to obtain even better models.
-AdaNet is easy to use, and creates high-quality models, saving ML practitioners the time normally spent selecting optimal neural network architectures, implementing an adaptive algorithm for learning a neural architecture as an ensemble of subnetworks. AdaNet is capable of adding subnetworks of different depths and widths to create a diverse ensemble, and trade off performance improvement with the number of parameters. [http://ai.googleblog.com/2018/10/introducing-adanet-fast-and-flexible.html Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees | Charles Weill]
+AdaNet is easy to use, and creates high-quality models, saving ML practitioners the time normally spent selecting optimal neural network architectures, implementing an adaptive algorithm for learning a neural architecture as an ensemble of subnetworks. AdaNet is capable of adding subnetworks of different depths and widths to create a diverse ensemble, and trade off performance improvement with the number of parameters. [https://ai.googleblog.com/2018/10/introducing-adanet-fast-and-flexible.html Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees | Charles Weill]
-http://2.bp.blogspot.com/-MXSy_I9M6nI/W9cx1LsFKRI/AAAAAAAADdc/HSFi3QnzgNwv5ovScFkLKUT9vyhAqVu2QCLcBGAs/s400/image1.gif
+https://2.bp.blogspot.com/-MXSy_I9M6nI/W9cx1LsFKRI/AAAAAAAADdc/HSFi3QnzgNwv5ovScFkLKUT9vyhAqVu2QCLcBGAs/s400/image1.gif
 <youtube>3jX-f06Ke74</youtube>