Directed Acyclic Graph (DAG) - Revision history

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

2023-03-28T14:08:58Z

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

BPeat at 22:58, 27 November 2021

2021-11-27T22:58:53Z

BPeat at 22:45, 27 November 2021

2021-11-27T22:45:32Z

BPeat at 14:56, 14 October 2020

2020-10-14T14:56:25Z

BPeat at 18:14, 26 September 2020

2020-09-26T18:14:13Z

BPeat: /* DAG Technology: 'DAG Coins' as an Alternative to Blockchain/Cryptocurrencies */

2020-08-20T01:57:39Z

‎DAG Technology: 'DAG Coins' as an Alternative to Blockchain/Cryptocurrencies

BPeat at 01:57, 20 August 2020

2020-08-20T01:57:01Z

BPeat at 15:17, 3 March 2019

2019-03-03T15:17:04Z

BPeat at 14:50, 3 March 2019

2019-03-03T14:50:49Z

BPeat at 14:49, 3 March 2019

2019-03-03T14:49:12Z

@@ 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=Directed+Acyclic+Graph+DAG+pipeline+program+machine+learning YouTube search...]
+[https://www.youtube.com/results?search_query=Directed+Acyclic+Graph+DAG+pipeline+program+machine+learning YouTube search...]
-[http://www.google.com/search?q=Directed+Acyclic+Graph+DAG+pipeline+program+machine+learning ...Google search]
+[https://www.google.com/search?q=Directed+Acyclic+Graph+DAG+pipeline+program+machine+learning ...Google search]
-* [http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yang_Multi-Scale_Recognition_With_ICCV_2015_paper.pdf Multi-scale recognition with DAG-CNNs | Songfan Yang & Deva Ramanan]
+* [https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yang_Multi-Scale_Recognition_With_ICCV_2015_paper.pdf Multi-scale recognition with DAG-CNNs | Songfan Yang & Deva Ramanan]
-* [http://www.qubole.com/blog/the-key-to-building-data-pipelines-for-machine-learning-support-for-multiple-engines/ The Key to Building Data Pipelines for Machine Learning: Support for Multiple Engines | Jorge Villamariona - Qubole]
+* [https://www.qubole.com/blog/the-key-to-building-data-pipelines-for-machine-learning-support-for-multiple-engines/ The Key to Building Data Pipelines for Machine Learning: Support for Multiple Engines | Jorge Villamariona - Qubole]
-* [http://www.ebayinc.com/stories/blogs/tech/running-arbitrary-dag-based-workflows-in-the-cloud/ Running Arbitrary DAG-based Workflows in the Cloud | Sachin Tilloo]
+* [https://www.ebayinc.com/stories/blogs/tech/running-arbitrary-dag-based-workflows-in-the-cloud/ Running Arbitrary DAG-based Workflows in the Cloud | Sachin Tilloo]
 * [[Data Flow Graph (DFG)]]
 * [[Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning]]
 * [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
-* [http://stats.stackexchange.com/questions/234694/can-all-neural-network-with-dag-topology-be-trained-by-back-prop Can all neural network having directed acyclic graph (DAG) topology be trained by back propagation methods? | StackExchange]
+* [https://stats.stackexchange.com/questions/234694/can-all-neural-network-with-dag-topology-be-trained-by-back-prop Can all neural network having directed acyclic graph (DAG) topology be trained by back propagation methods? | StackExchange]
 * [[Blockchain]]
-A DAG network is a neural network for deep learning with layers arranged as a directed acyclic graph. A DAG network can have a more complex architecture in which layers have inputs from multiple layers and outputs to multiple layers.  [http://www.mathworks.com/help/deeplearning/ref/dagnetwork.html DAGNetwork | MathWorks]
+A DAG network is a neural network for deep learning with layers arranged as a directed acyclic graph. A DAG network can have a more complex architecture in which layers have inputs from multiple layers and outputs to multiple layers.  [https://www.mathworks.com/help/deeplearning/ref/dagnetwork.html DAGNetwork | MathWorks]
-DAG workflow are set of tasks written with dependencies between the tasks rather than linearly chaining. [http://www.kdnuggets.com/2019/02/4-reasons-machine-learning-code-probably-bad.html 4 Reasons Why Your Machine Learning Code is Probably Bad - Norman Niemer - KDnuggets]
+DAG workflow are set of tasks written with dependencies between the tasks rather than linearly chaining. [https://www.kdnuggets.com/2019/02/4-reasons-machine-learning-code-probably-bad.html 4 Reasons Why Your Machine Learning Code is Probably Bad - Norman Niemer - KDnuggets]
-** [http://github.com/d6t/d6tflow/blob/master/docs/example-ml.md Example Usage For a Machine Learning Workflow | GitHub]
+** [https://github.com/d6t/d6tflow/blob/master/docs/example-ml.md Example Usage For a Machine Learning Workflow | GitHub]
-http://www.mathworks.com/help/examples/nnet/win64/CreateSimpleDAGNetworkExample_03.png
+https://www.mathworks.com/help/examples/nnet/win64/CreateSimpleDAGNetworkExample_03.png
 <youtube>LOr_abIZL04</youtube>

@@ Line 15: / Line 15: @@
 * [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
 * [http://stats.stackexchange.com/questions/234694/can-all-neural-network-with-dag-topology-be-trained-by-back-prop Can all neural network having directed acyclic graph (DAG) topology be trained by back propagation methods? | StackExchange]
 A DAG network is a neural network for deep learning with layers arranged as a directed acyclic graph. A DAG network can have a more complex architecture in which layers have inputs from multiple layers and outputs to multiple layers.  [http://www.mathworks.com/help/deeplearning/ref/dagnetwork.html DAGNetwork | MathWorks]

@@ Line 26: / Line 26: @@
 <youtube>Hc47QH5Cymw</youtube>
-== DAG Technology: 'DAG Coins' as an Alternative to [[Decentralized: Federated & Distributed#Blockchain|Blockchain]]/Cryptocurrencies  ==
+== DAG Technology: 'DAG Coins' as an Alternative to [[Blockchain]]/Cryptocurrencies  ==
-* [[Decentralized: Federated & Distributed#Blockchain|Decentralized: Federated & Distributed: Blockchain]]
+* [[Blockchain]]
 <youtube>mFaDeL90QhE</youtube>
 <youtube>zwzzKLi8VbY</youtube>
 <youtube>Vg1y1BZrLYU</youtube>

@@ Line 13: / Line 13: @@
 * [[Data Flow Graph (DFG)]]
 * [[Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning]]
-* [[Platforms: Machine Learning as a Service (MLaaS)]]
+* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
 * [http://stats.stackexchange.com/questions/234694/can-all-neural-network-with-dag-topology-be-trained-by-back-prop Can all neural network having directed acyclic graph (DAG) topology be trained by back propagation methods? | StackExchange]

@@ Line 26: / Line 26: @@
 <youtube>Hc47QH5Cymw</youtube>
-== DAG Technology: 'DAG Coins' as an Alternative to Blockchain/Cryptocurrencies  ==
+== DAG Technology: 'DAG Coins' as an Alternative to [[Decentralized: Federated & Distributed#Blockchain|Blockchain]]/Cryptocurrencies  ==
-* [[Blockchain and Artificial Intelligence]]
+* [[Decentralized: Federated & Distributed#Blockchain|Decentralized: Federated & Distributed: Blockchain]]
 <youtube>mFaDeL90QhE</youtube>
 <youtube>zwzzKLi8VbY</youtube>
 <youtube>Vg1y1BZrLYU</youtube>