Auto Keras - Revision history

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

2023-03-28T05:49:10Z

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

BPeat at 00:00, 28 September 2020

2020-09-28T00:00:55Z

BPeat at 12:09, 27 April 2019

2019-04-27T12:09:52Z

BPeat at 11:57, 27 April 2019

2019-04-27T11:57:46Z

BPeat at 02:20, 3 February 2019

2019-02-03T02:20:47Z

BPeat at 11:37, 10 December 2018

2018-12-10T11:37:32Z

BPeat at 11:28, 10 December 2018

2018-12-10T11:28:23Z

BPeat at 12:02, 29 August 2018

2018-08-29T12:02:39Z

BPeat at 09:32, 26 August 2018

2018-08-26T09:32:45Z

BPeat: BPeat moved page AutoKeras to Auto Keras without leaving a redirect

2018-08-26T09:29:55Z

BPeat moved page AutoKeras to Auto Keras without leaving a redirect

@@ 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=Auto-Keras+AutoKeras+machine+learning YouTube search...]
+[https://www.youtube.com/results?search_query=Auto-Keras+AutoKeras+machine+learning YouTube search...]
-[http://www.google.com/search?q=Auto-Keras+AutoKeras+deep+machine+learning+ML+artificial+intelligence ...Google search]
+[https://www.google.com/search?q=Auto-Keras+AutoKeras+deep+machine+learning+ML+artificial+intelligence ...Google search]
 * [[Algorithm Administration#Automated Learning|Automated Learning]]
-* [http://autokeras.com/ Auto Keras.com]
+* [https://autokeras.com/ Auto Keras.com]
 * [[Keras]]
-* [http://www.kdnuggets.com/2018/08/auto-keras-create-deep-learning-model-4-lines-code.html Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code | Favio Vazquez = KDnuggets]
+* [https://www.kdnuggets.com/2018/08/auto-keras-create-deep-learning-model-4-lines-code.html Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code | Favio Vazquez = KDnuggets]
-* [http://www.analyticsindiamag.com/10-machine-learning-projects-every-tech-aficionado-must-work-on-in-2019/ 10 Machine Learning Projects Every Tech Aficionado Must Work On In 2019 | Ambika Choudhury - AnalyticsIndia]
+* [https://www.analyticsindiamag.com/10-machine-learning-projects-every-tech-aficionado-must-work-on-in-2019/ 10 Machine Learning Projects Every Tech Aficionado Must Work On In 2019 | Ambika Choudhury - AnalyticsIndia]
 Auto Keras is an open source software library for automated machine learning ([[AutoML]]). It is developed by DATA Lab at Texas A&M University and community contributors. The ultimate goal of AutoML is to provide easily accessible deep learning tools to domain experts with limited data science or machine learning background. Auto Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.
-An open source python package written in the very easy to use deep learning library [[Keras]]. [http://autokeras.com/ Auto Keras] uses [http://arxiv.org/abs/1802.03268 Efficient Neural Architecture Search (ENAS)], an efficient and most recent version of Neural Architecture Search. You can quickly and easily install the package with a pip install autokeras and voila, you’re ready to do your own architecture search on your own dataset … for free. Since all of the code is open source, you can even play around with some of the parameters if you want to do something really custom. It’s all [[Keras]] so the code is easy to understand and dive into, allowing developers to quickly create accurate models and researchers to take a deeper dive into architecture search. Auto Keras has everything a great open source project should have: quick install, easy to run, lots of examples, easy to modify, and you even get to see the network model that NAS found out at the end!  [http://www.kdnuggets.com/2018/08/autokeras-killer-google-automl.html Auto Keras: The Killer of Google’s AutoML | George Seif - KDnuggets]
+An open source python package written in the very easy to use deep learning library [[Keras]]. [https://autokeras.com/ Auto Keras] uses [https://arxiv.org/abs/1802.03268 Efficient Neural Architecture Search (ENAS)], an efficient and most recent version of Neural Architecture Search. You can quickly and easily install the package with a pip install autokeras and voila, you’re ready to do your own architecture search on your own dataset … for free. Since all of the code is open source, you can even play around with some of the parameters if you want to do something really custom. It’s all [[Keras]] so the code is easy to understand and dive into, allowing developers to quickly create accurate models and researchers to take a deeper dive into architecture search. Auto Keras has everything a great open source project should have: quick install, easy to run, lots of examples, easy to modify, and you even get to see the network model that NAS found out at the end!  [https://www.kdnuggets.com/2018/08/autokeras-killer-google-automl.html Auto Keras: The Killer of Google’s AutoML | George Seif - KDnuggets]
 <youtube>veWfGSZSzmE</youtube>
 <youtube>XK2KJqSYsBM</youtube>
 <youtube>8xLezDE7DFM</youtube>

@@ Line 8: / Line 8: @@
 [http://www.google.com/search?q=Auto-Keras+AutoKeras+deep+machine+learning+ML+artificial+intelligence ...Google search]
-* [[Automated Machine Learning (AML) - AutoML]]
+* [[Algorithm Administration#Automated Learning|Automated Learning]]
 * [http://autokeras.com/ Auto Keras.com]
 * [[Keras]]

@@ Line 10: / Line 10: @@
 * [[Automated Machine Learning (AML) - AutoML]]
 * [http://autokeras.com/ Auto Keras.com]
 * [http://www.kdnuggets.com/2018/08/auto-keras-create-deep-learning-model-4-lines-code.html Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code | Favio Vazquez = KDnuggets]
 Auto Keras is an open source software library for automated machine learning ([[AutoML]]). It is developed by DATA Lab at Texas A&M University and community contributors. The ultimate goal of AutoML is to provide easily accessible deep learning tools to domain experts with limited data science or machine learning background. Auto Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.
@@ Line 17: / Line 19: @@
 <youtube>veWfGSZSzmE</youtube>

← Older revision		Revision as of 11:57, 27 April 2019
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	An open source python package written in the very easy to use deep learning library [[Keras]]. [http://autokeras.com/ Auto Keras] uses [http://arxiv.org/abs/1802.03268 Efficient Neural Architecture Search (ENAS)], an efficient and most recent version of Neural Architecture Search. You can quickly and easily install the package with a pip install autokeras and voila, you’re ready to do your own architecture search on your own dataset … for free. Since all of the code is open source, you can even play around with some of the parameters if you want to do something really custom. It’s all [[Keras]] so the code is easy to understand and dive into, allowing developers to quickly create accurate models and researchers to take a deeper dive into architecture search. Auto Keras has everything a great open source project should have: quick install, easy to run, lots of examples, easy to modify, and you even get to see the network model that NAS found out at the end! [http://www.kdnuggets.com/2018/08/autokeras-killer-google-automl.html Auto Keras: The Killer of Google’s AutoML \| George Seif - KDnuggets]		An open source python package written in the very easy to use deep learning library [[Keras]]. [http://autokeras.com/ Auto Keras] uses [http://arxiv.org/abs/1802.03268 Efficient Neural Architecture Search (ENAS)], an efficient and most recent version of Neural Architecture Search. You can quickly and easily install the package with a pip install autokeras and voila, you’re ready to do your own architecture search on your own dataset … for free. Since all of the code is open source, you can even play around with some of the parameters if you want to do something really custom. It’s all [[Keras]] so the code is easy to understand and dive into, allowing developers to quickly create accurate models and researchers to take a deeper dive into architecture search. Auto Keras has everything a great open source project should have: quick install, easy to run, lots of examples, easy to modify, and you even get to see the network model that NAS found out at the end! [http://www.kdnuggets.com/2018/08/autokeras-killer-google-automl.html Auto Keras: The Killer of Google’s AutoML \| George Seif - KDnuggets]

−	<youtube>~~Hsw9z1GcAms~~</youtube>	+	<youtube>veWfGSZSzmE</youtube>

← Older revision		Revision as of 02:20, 3 February 2019
Line 1:		Line 1:
		+	{{#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=Auto-Keras+AutoKeras+machine+learning YouTube search...]		[http://www.youtube.com/results?search_query=Auto-Keras+AutoKeras+machine+learning YouTube search...]
		+	[http://www.google.com/search?q=Auto-Keras+AutoKeras+deep+machine+learning+ML+artificial+intelligence ...Google search]

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

@@ Line 4: / Line 4: @@
 * [http://autokeras.com/ Auto Keras.com]
-Auto Keras is an open source software library for automated machine learning ([[AutoML]]). It is developed by DATA Lab at Texas A&M University and community contributors. The ultimate goal of AutoML is to provide easily accessible deep learning tools to domain experts with limited data science or machine learning background. Auto-Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.
+Auto Keras is an open source software library for automated machine learning ([[AutoML]]). It is developed by DATA Lab at Texas A&M University and community contributors. The ultimate goal of AutoML is to provide easily accessible deep learning tools to domain experts with limited data science or machine learning background. Auto Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.
-An open source python package written in the very easy to use deep learning library Keras. [http://autokeras.com/ Auto Keras] uses [http://arxiv.org/abs/1802.03268 Efficient Neural Architecture Search (ENAS)], an efficient and most recent version of Neural Architecture Search. You can quickly and easily install the package with a pip install autokeras and voila, you’re ready to do your own architecture search on your own dataset … for free. Since all of the code is open source, you can even play around with some of the parameters if you want to do something really custom. It’s all [[Keras]] so the code is easy to understand and dive into, allowing developers to quickly create accurate models and researchers to take a deeper dive into architecture search. AutoKeras has everything a great open source project should have: quick install, easy to run, lots of examples, easy to modify, and you even get to see the network model that NAS found out at the end!  [http://www.kdnuggets.com/2018/08/autokeras-killer-google-automl.html AutoKeras: The Killer of Google’s AutoML | George Seif - KDnuggets]
+An open source python package written in the very easy to use deep learning library [[Keras]]. [http://autokeras.com/ Auto Keras] uses [http://arxiv.org/abs/1802.03268 Efficient Neural Architecture Search (ENAS)], an efficient and most recent version of Neural Architecture Search. You can quickly and easily install the package with a pip install autokeras and voila, you’re ready to do your own architecture search on your own dataset … for free. Since all of the code is open source, you can even play around with some of the parameters if you want to do something really custom. It’s all [[Keras]] so the code is easy to understand and dive into, allowing developers to quickly create accurate models and researchers to take a deeper dive into architecture search. Auto Keras has everything a great open source project should have: quick install, easy to run, lots of examples, easy to modify, and you even get to see the network model that NAS found out at the end!  [http://www.kdnuggets.com/2018/08/autokeras-killer-google-automl.html Auto Keras: The Killer of Google’s AutoML | George Seif - KDnuggets]
 <youtube>Hsw9z1GcAms</youtube>

← Older revision	Revision as of 09:29, 26 August 2018
(No difference)